Training in progress, step 3000, checkpoint
Browse files- checkpoint-3000/config.json +184 -0
- checkpoint-3000/model.safetensors +3 -0
- checkpoint-3000/optimizer.pt +3 -0
- checkpoint-3000/rng_state_0.pth +3 -0
- checkpoint-3000/rng_state_1.pth +3 -0
- checkpoint-3000/scheduler.pt +3 -0
- checkpoint-3000/trainer_state.json +2169 -0
- checkpoint-3000/training_args.bin +3 -0
checkpoint-3000/config.json
ADDED
|
@@ -0,0 +1,184 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"K": 4096,
|
| 3 |
+
"architectures": [
|
| 4 |
+
"MomentumDualEncoderModel"
|
| 5 |
+
],
|
| 6 |
+
"assembly_config": {
|
| 7 |
+
"_name_or_path": "",
|
| 8 |
+
"add_cross_attention": false,
|
| 9 |
+
"architectures": [
|
| 10 |
+
"LongelmForMaskedLMWithEdgePrediction"
|
| 11 |
+
],
|
| 12 |
+
"attention_probs_dropout_prob": 0.1,
|
| 13 |
+
"bad_words_ids": null,
|
| 14 |
+
"begin_suppress_tokens": null,
|
| 15 |
+
"block_size": 8,
|
| 16 |
+
"bos_token_id": 1,
|
| 17 |
+
"chunk_size_feed_forward": 0,
|
| 18 |
+
"classifier_dropout": null,
|
| 19 |
+
"cross_attention_hidden_size": null,
|
| 20 |
+
"decoder_start_token_id": null,
|
| 21 |
+
"diversity_penalty": 0.0,
|
| 22 |
+
"do_sample": false,
|
| 23 |
+
"early_stopping": false,
|
| 24 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 25 |
+
"eos_token_id": 2,
|
| 26 |
+
"ep_add_linear_projection": true,
|
| 27 |
+
"exponential_decay_length_penalty": null,
|
| 28 |
+
"finetuning_task": null,
|
| 29 |
+
"forced_bos_token_id": null,
|
| 30 |
+
"forced_eos_token_id": null,
|
| 31 |
+
"global_memory_size": 1,
|
| 32 |
+
"hidden_act": "gelu",
|
| 33 |
+
"hidden_dropout_prob": 0.1,
|
| 34 |
+
"hidden_size": 768,
|
| 35 |
+
"id2label": {
|
| 36 |
+
"0": "LABEL_0",
|
| 37 |
+
"1": "LABEL_1"
|
| 38 |
+
},
|
| 39 |
+
"initializer_range": 0.02,
|
| 40 |
+
"intermediate_size": 3072,
|
| 41 |
+
"is_decoder": false,
|
| 42 |
+
"is_encoder_decoder": false,
|
| 43 |
+
"label2id": {
|
| 44 |
+
"LABEL_0": 0,
|
| 45 |
+
"LABEL_1": 1
|
| 46 |
+
},
|
| 47 |
+
"layer_norm_eps": 1e-12,
|
| 48 |
+
"length_penalty": 1.0,
|
| 49 |
+
"max_blocks": 200,
|
| 50 |
+
"max_length": 20,
|
| 51 |
+
"max_position_embeddings": 1805,
|
| 52 |
+
"max_relative_position_embeddings": 8,
|
| 53 |
+
"min_length": 0,
|
| 54 |
+
"model_type": "longelm",
|
| 55 |
+
"no_repeat_ngram_size": 0,
|
| 56 |
+
"node_size": 1,
|
| 57 |
+
"num_attention_heads": 12,
|
| 58 |
+
"num_beam_groups": 1,
|
| 59 |
+
"num_beams": 1,
|
| 60 |
+
"num_hidden_layers": 12,
|
| 61 |
+
"num_return_sequences": 1,
|
| 62 |
+
"output_attentions": false,
|
| 63 |
+
"output_hidden_states": false,
|
| 64 |
+
"output_scores": false,
|
| 65 |
+
"pad_token_id": 3,
|
| 66 |
+
"position_embedding_type": "mixed",
|
| 67 |
+
"prefix": null,
|
| 68 |
+
"problem_type": null,
|
| 69 |
+
"pruned_heads": {},
|
| 70 |
+
"remove_invalid_values": false,
|
| 71 |
+
"repetition_penalty": 1.0,
|
| 72 |
+
"return_dict": true,
|
| 73 |
+
"return_dict_in_generate": false,
|
| 74 |
+
"sep_token_id": null,
|
| 75 |
+
"suppress_tokens": null,
|
| 76 |
+
"task_specific_params": null,
|
| 77 |
+
"temperature": 1.0,
|
| 78 |
+
"tf_legacy_loss": false,
|
| 79 |
+
"tie_encoder_decoder": false,
|
| 80 |
+
"tie_word_embeddings": true,
|
| 81 |
+
"tokenizer_class": null,
|
| 82 |
+
"top_k": 50,
|
| 83 |
+
"top_p": 1.0,
|
| 84 |
+
"torch_dtype": "float32",
|
| 85 |
+
"torchscript": false,
|
| 86 |
+
"type_vocab_size": 2,
|
| 87 |
+
"typical_p": 1.0,
|
| 88 |
+
"use_bfloat16": false,
|
| 89 |
+
"use_cache": true,
|
| 90 |
+
"vocab_size": 50265
|
| 91 |
+
},
|
| 92 |
+
"logit_scale_init_value": 2.6592,
|
| 93 |
+
"m": 0.999,
|
| 94 |
+
"model_type": "assembly-source-dual-encoder",
|
| 95 |
+
"projection_dim": 512,
|
| 96 |
+
"source_config": {
|
| 97 |
+
"_name_or_path": "Salesforce/codet5p-110m-embedding",
|
| 98 |
+
"add_cross_attention": false,
|
| 99 |
+
"architectures": [
|
| 100 |
+
"CodeT5p_Embedding"
|
| 101 |
+
],
|
| 102 |
+
"auto_map": {
|
| 103 |
+
"AutoConfig": "Salesforce/codet5p-110m-embedding--configuration_codet5p_embedding.CodeT5pEmbeddingConfig",
|
| 104 |
+
"AutoModel": "Salesforce/codet5p-110m-embedding--modeling_codet5p_embedding.CodeT5pEmbeddingModel"
|
| 105 |
+
},
|
| 106 |
+
"bad_words_ids": null,
|
| 107 |
+
"begin_suppress_tokens": null,
|
| 108 |
+
"bos_token_id": 1,
|
| 109 |
+
"chunk_size_feed_forward": 0,
|
| 110 |
+
"cross_attention_hidden_size": null,
|
| 111 |
+
"d_ff": 3072,
|
| 112 |
+
"d_kv": 64,
|
| 113 |
+
"d_model": 768,
|
| 114 |
+
"decoder_start_token_id": 0,
|
| 115 |
+
"dense_act_fn": "relu",
|
| 116 |
+
"diversity_penalty": 0.0,
|
| 117 |
+
"do_sample": false,
|
| 118 |
+
"dropout_rate": 0.1,
|
| 119 |
+
"early_stopping": false,
|
| 120 |
+
"embed_dim": 256,
|
| 121 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 122 |
+
"eos_token_id": 2,
|
| 123 |
+
"exponential_decay_length_penalty": null,
|
| 124 |
+
"feed_forward_proj": "relu",
|
| 125 |
+
"finetuning_task": null,
|
| 126 |
+
"forced_bos_token_id": null,
|
| 127 |
+
"forced_eos_token_id": null,
|
| 128 |
+
"gradient_checkpointing": false,
|
| 129 |
+
"id2label": {
|
| 130 |
+
"0": "LABEL_0"
|
| 131 |
+
},
|
| 132 |
+
"initializer_factor": 1.0,
|
| 133 |
+
"is_decoder": false,
|
| 134 |
+
"is_encoder_decoder": true,
|
| 135 |
+
"is_gated_act": false,
|
| 136 |
+
"label2id": {
|
| 137 |
+
"LABEL_0": 0
|
| 138 |
+
},
|
| 139 |
+
"layer_norm_epsilon": 1e-06,
|
| 140 |
+
"length_penalty": 1.0,
|
| 141 |
+
"max_length": 20,
|
| 142 |
+
"min_length": 0,
|
| 143 |
+
"model_type": "codet5p_embedding",
|
| 144 |
+
"n_positions": 512,
|
| 145 |
+
"no_repeat_ngram_size": 0,
|
| 146 |
+
"num_beam_groups": 1,
|
| 147 |
+
"num_beams": 1,
|
| 148 |
+
"num_heads": 12,
|
| 149 |
+
"num_layers": 12,
|
| 150 |
+
"num_return_sequences": 1,
|
| 151 |
+
"output_attentions": false,
|
| 152 |
+
"output_hidden_states": false,
|
| 153 |
+
"output_past": true,
|
| 154 |
+
"output_scores": false,
|
| 155 |
+
"pad_token_id": 0,
|
| 156 |
+
"prefix": null,
|
| 157 |
+
"problem_type": null,
|
| 158 |
+
"pruned_heads": {},
|
| 159 |
+
"relative_attention_max_distance": 128,
|
| 160 |
+
"relative_attention_num_buckets": 32,
|
| 161 |
+
"remove_invalid_values": false,
|
| 162 |
+
"repetition_penalty": 1.0,
|
| 163 |
+
"return_dict": true,
|
| 164 |
+
"return_dict_in_generate": false,
|
| 165 |
+
"sep_token_id": null,
|
| 166 |
+
"suppress_tokens": null,
|
| 167 |
+
"task_specific_params": null,
|
| 168 |
+
"temperature": 1.0,
|
| 169 |
+
"tf_legacy_loss": false,
|
| 170 |
+
"tie_encoder_decoder": false,
|
| 171 |
+
"tie_word_embeddings": true,
|
| 172 |
+
"tokenizer_class": null,
|
| 173 |
+
"top_k": 50,
|
| 174 |
+
"top_p": 1.0,
|
| 175 |
+
"torch_dtype": "float32",
|
| 176 |
+
"torchscript": false,
|
| 177 |
+
"typical_p": 1.0,
|
| 178 |
+
"use_bfloat16": false,
|
| 179 |
+
"use_cache": false,
|
| 180 |
+
"vocab_size": 32103
|
| 181 |
+
},
|
| 182 |
+
"torch_dtype": "float32",
|
| 183 |
+
"transformers_version": "4.39.3"
|
| 184 |
+
}
|
checkpoint-3000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b99bb07d3513ff7f6e1aff5d24b4ebd6f109d9a22e9658dde54504cb78312875
|
| 3 |
+
size 1901991436
|
checkpoint-3000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:326aec54c54fd4b74f4f16e7a8c9f0ed6f2829b7ee183deab53b3b15cee15d93
|
| 3 |
+
size 1888540293
|
checkpoint-3000/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386650eb494f13f58147af7398f1d24f7c88b8be9b65420212f8a0370d5d6f56
|
| 3 |
+
size 15607
|
checkpoint-3000/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e754245499de1f53fc3b9858b02e7a7e62257a9a25ba36bf78e0acc10c294048
|
| 3 |
+
size 15607
|
checkpoint-3000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c24acaac514365349c56d9f358e00e231ef0e59cc8aa1284203ab1eb1f39d16
|
| 3 |
+
size 627
|
checkpoint-3000/trainer_state.json
ADDED
|
@@ -0,0 +1,2169 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.11904761904761904,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 3000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"grad_norm": 23.495065689086914,
|
| 14 |
+
"learning_rate": 4.0000000000000003e-07,
|
| 15 |
+
"loss": 8.6232,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0,
|
| 20 |
+
"grad_norm": 24.87381935119629,
|
| 21 |
+
"learning_rate": 9e-07,
|
| 22 |
+
"loss": 8.4514,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0,
|
| 27 |
+
"grad_norm": 22.63846778869629,
|
| 28 |
+
"learning_rate": 1.4000000000000001e-06,
|
| 29 |
+
"loss": 8.3152,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0,
|
| 34 |
+
"grad_norm": 20.65507698059082,
|
| 35 |
+
"learning_rate": 1.9e-06,
|
| 36 |
+
"loss": 7.9732,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.0,
|
| 41 |
+
"grad_norm": 16.147356033325195,
|
| 42 |
+
"learning_rate": 2.4000000000000003e-06,
|
| 43 |
+
"loss": 7.6879,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.0,
|
| 48 |
+
"grad_norm": 14.252687454223633,
|
| 49 |
+
"learning_rate": 2.9e-06,
|
| 50 |
+
"loss": 7.4152,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.0,
|
| 55 |
+
"grad_norm": 12.011382102966309,
|
| 56 |
+
"learning_rate": 3.4000000000000005e-06,
|
| 57 |
+
"loss": 7.2472,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.0,
|
| 62 |
+
"grad_norm": 10.081536293029785,
|
| 63 |
+
"learning_rate": 3.9e-06,
|
| 64 |
+
"loss": 7.2433,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.0,
|
| 69 |
+
"grad_norm": 9.65556526184082,
|
| 70 |
+
"learning_rate": 4.4e-06,
|
| 71 |
+
"loss": 7.2298,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.0,
|
| 76 |
+
"grad_norm": 8.830799102783203,
|
| 77 |
+
"learning_rate": 4.9000000000000005e-06,
|
| 78 |
+
"loss": 7.19,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.0,
|
| 83 |
+
"grad_norm": 9.019427299499512,
|
| 84 |
+
"learning_rate": 5.4e-06,
|
| 85 |
+
"loss": 7.2362,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.0,
|
| 90 |
+
"grad_norm": 9.13768482208252,
|
| 91 |
+
"learning_rate": 5.9e-06,
|
| 92 |
+
"loss": 7.2804,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.01,
|
| 97 |
+
"grad_norm": 9.02840805053711,
|
| 98 |
+
"learning_rate": 6.4000000000000006e-06,
|
| 99 |
+
"loss": 7.2345,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.01,
|
| 104 |
+
"grad_norm": 8.178731918334961,
|
| 105 |
+
"learning_rate": 6.900000000000001e-06,
|
| 106 |
+
"loss": 7.3014,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.01,
|
| 111 |
+
"grad_norm": 8.83882999420166,
|
| 112 |
+
"learning_rate": 7.4e-06,
|
| 113 |
+
"loss": 7.3875,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.01,
|
| 118 |
+
"grad_norm": 8.3687162399292,
|
| 119 |
+
"learning_rate": 7.9e-06,
|
| 120 |
+
"loss": 7.4546,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.01,
|
| 125 |
+
"grad_norm": 8.09121036529541,
|
| 126 |
+
"learning_rate": 8.400000000000001e-06,
|
| 127 |
+
"loss": 7.407,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.01,
|
| 132 |
+
"grad_norm": 12.731450080871582,
|
| 133 |
+
"learning_rate": 8.9e-06,
|
| 134 |
+
"loss": 7.4321,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.01,
|
| 139 |
+
"grad_norm": 7.601162910461426,
|
| 140 |
+
"learning_rate": 9.4e-06,
|
| 141 |
+
"loss": 7.4155,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.01,
|
| 146 |
+
"grad_norm": 8.006213188171387,
|
| 147 |
+
"learning_rate": 9.900000000000002e-06,
|
| 148 |
+
"loss": 7.3705,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.01,
|
| 153 |
+
"grad_norm": 7.79794454574585,
|
| 154 |
+
"learning_rate": 1.04e-05,
|
| 155 |
+
"loss": 7.3759,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.01,
|
| 160 |
+
"grad_norm": 7.281346321105957,
|
| 161 |
+
"learning_rate": 1.09e-05,
|
| 162 |
+
"loss": 7.3798,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.01,
|
| 167 |
+
"grad_norm": 7.605266094207764,
|
| 168 |
+
"learning_rate": 1.1400000000000001e-05,
|
| 169 |
+
"loss": 7.3878,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.01,
|
| 174 |
+
"grad_norm": 7.446412563323975,
|
| 175 |
+
"learning_rate": 1.19e-05,
|
| 176 |
+
"loss": 7.3098,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.01,
|
| 181 |
+
"grad_norm": 7.6324334144592285,
|
| 182 |
+
"learning_rate": 1.24e-05,
|
| 183 |
+
"loss": 7.2995,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.01,
|
| 188 |
+
"grad_norm": 8.330737113952637,
|
| 189 |
+
"learning_rate": 1.29e-05,
|
| 190 |
+
"loss": 7.1887,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.01,
|
| 195 |
+
"grad_norm": 7.283708572387695,
|
| 196 |
+
"learning_rate": 1.3400000000000002e-05,
|
| 197 |
+
"loss": 7.1184,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.01,
|
| 202 |
+
"grad_norm": 6.950069904327393,
|
| 203 |
+
"learning_rate": 1.3900000000000002e-05,
|
| 204 |
+
"loss": 6.9876,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.01,
|
| 209 |
+
"grad_norm": 6.844958782196045,
|
| 210 |
+
"learning_rate": 1.44e-05,
|
| 211 |
+
"loss": 6.9319,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.01,
|
| 216 |
+
"grad_norm": 7.499362468719482,
|
| 217 |
+
"learning_rate": 1.49e-05,
|
| 218 |
+
"loss": 6.9253,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.01,
|
| 223 |
+
"grad_norm": 8.45572280883789,
|
| 224 |
+
"learning_rate": 1.54e-05,
|
| 225 |
+
"loss": 6.7999,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.01,
|
| 230 |
+
"grad_norm": 8.108625411987305,
|
| 231 |
+
"learning_rate": 1.59e-05,
|
| 232 |
+
"loss": 6.7667,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.01,
|
| 237 |
+
"grad_norm": 8.131596565246582,
|
| 238 |
+
"learning_rate": 1.6400000000000002e-05,
|
| 239 |
+
"loss": 6.7599,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.01,
|
| 244 |
+
"grad_norm": 7.2159247398376465,
|
| 245 |
+
"learning_rate": 1.69e-05,
|
| 246 |
+
"loss": 6.7379,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.01,
|
| 251 |
+
"grad_norm": 7.335048675537109,
|
| 252 |
+
"learning_rate": 1.74e-05,
|
| 253 |
+
"loss": 6.6553,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.01,
|
| 258 |
+
"grad_norm": 7.361081600189209,
|
| 259 |
+
"learning_rate": 1.79e-05,
|
| 260 |
+
"loss": 6.6905,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.01,
|
| 265 |
+
"grad_norm": 7.59442138671875,
|
| 266 |
+
"learning_rate": 1.84e-05,
|
| 267 |
+
"loss": 6.6356,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.02,
|
| 272 |
+
"grad_norm": 7.31695032119751,
|
| 273 |
+
"learning_rate": 1.8900000000000002e-05,
|
| 274 |
+
"loss": 6.6538,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.02,
|
| 279 |
+
"grad_norm": 7.541380882263184,
|
| 280 |
+
"learning_rate": 1.94e-05,
|
| 281 |
+
"loss": 6.6873,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.02,
|
| 286 |
+
"grad_norm": 8.056180000305176,
|
| 287 |
+
"learning_rate": 1.9900000000000003e-05,
|
| 288 |
+
"loss": 6.6332,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.02,
|
| 293 |
+
"grad_norm": 6.74859094619751,
|
| 294 |
+
"learning_rate": 2.04e-05,
|
| 295 |
+
"loss": 6.5488,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.02,
|
| 300 |
+
"grad_norm": 7.700525760650635,
|
| 301 |
+
"learning_rate": 2.09e-05,
|
| 302 |
+
"loss": 6.611,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.02,
|
| 307 |
+
"grad_norm": 7.347009181976318,
|
| 308 |
+
"learning_rate": 2.1400000000000002e-05,
|
| 309 |
+
"loss": 6.6621,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.02,
|
| 314 |
+
"grad_norm": 6.607337951660156,
|
| 315 |
+
"learning_rate": 2.19e-05,
|
| 316 |
+
"loss": 6.568,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.02,
|
| 321 |
+
"grad_norm": 6.816825866699219,
|
| 322 |
+
"learning_rate": 2.2400000000000002e-05,
|
| 323 |
+
"loss": 6.6293,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.02,
|
| 328 |
+
"grad_norm": 6.984443664550781,
|
| 329 |
+
"learning_rate": 2.29e-05,
|
| 330 |
+
"loss": 6.5667,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.02,
|
| 335 |
+
"grad_norm": 6.995021820068359,
|
| 336 |
+
"learning_rate": 2.3400000000000003e-05,
|
| 337 |
+
"loss": 6.5062,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.02,
|
| 342 |
+
"grad_norm": 6.876286029815674,
|
| 343 |
+
"learning_rate": 2.39e-05,
|
| 344 |
+
"loss": 6.5034,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.02,
|
| 349 |
+
"grad_norm": 6.953365802764893,
|
| 350 |
+
"learning_rate": 2.44e-05,
|
| 351 |
+
"loss": 6.459,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.02,
|
| 356 |
+
"grad_norm": 7.246520519256592,
|
| 357 |
+
"learning_rate": 2.4900000000000002e-05,
|
| 358 |
+
"loss": 6.4359,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.02,
|
| 363 |
+
"eval_loss": 6.133457660675049,
|
| 364 |
+
"eval_runtime": 422.8798,
|
| 365 |
+
"eval_samples_per_second": 50.182,
|
| 366 |
+
"eval_steps_per_second": 0.393,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.02,
|
| 371 |
+
"grad_norm": 7.1657819747924805,
|
| 372 |
+
"learning_rate": 2.54e-05,
|
| 373 |
+
"loss": 6.4372,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.02,
|
| 378 |
+
"grad_norm": 7.203813552856445,
|
| 379 |
+
"learning_rate": 2.5900000000000003e-05,
|
| 380 |
+
"loss": 6.3684,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.02,
|
| 385 |
+
"grad_norm": 6.829228401184082,
|
| 386 |
+
"learning_rate": 2.64e-05,
|
| 387 |
+
"loss": 6.3275,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.02,
|
| 392 |
+
"grad_norm": 6.641738414764404,
|
| 393 |
+
"learning_rate": 2.6900000000000003e-05,
|
| 394 |
+
"loss": 6.2923,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.02,
|
| 399 |
+
"grad_norm": 7.824960708618164,
|
| 400 |
+
"learning_rate": 2.7400000000000002e-05,
|
| 401 |
+
"loss": 6.3685,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.02,
|
| 406 |
+
"grad_norm": 6.7754364013671875,
|
| 407 |
+
"learning_rate": 2.7900000000000004e-05,
|
| 408 |
+
"loss": 6.3069,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.02,
|
| 413 |
+
"grad_norm": 7.3608903884887695,
|
| 414 |
+
"learning_rate": 2.84e-05,
|
| 415 |
+
"loss": 6.2915,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.02,
|
| 420 |
+
"grad_norm": 6.551064968109131,
|
| 421 |
+
"learning_rate": 2.8899999999999998e-05,
|
| 422 |
+
"loss": 6.1676,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.02,
|
| 427 |
+
"grad_norm": 6.588657379150391,
|
| 428 |
+
"learning_rate": 2.94e-05,
|
| 429 |
+
"loss": 6.2311,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.02,
|
| 434 |
+
"grad_norm": 6.631275177001953,
|
| 435 |
+
"learning_rate": 2.9900000000000002e-05,
|
| 436 |
+
"loss": 6.1824,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.02,
|
| 441 |
+
"grad_norm": 6.2990288734436035,
|
| 442 |
+
"learning_rate": 3.04e-05,
|
| 443 |
+
"loss": 6.1641,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.02,
|
| 448 |
+
"grad_norm": 6.6439714431762695,
|
| 449 |
+
"learning_rate": 3.09e-05,
|
| 450 |
+
"loss": 6.0125,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.03,
|
| 455 |
+
"grad_norm": 6.402431964874268,
|
| 456 |
+
"learning_rate": 3.1400000000000004e-05,
|
| 457 |
+
"loss": 6.1314,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.03,
|
| 462 |
+
"grad_norm": 5.883937358856201,
|
| 463 |
+
"learning_rate": 3.19e-05,
|
| 464 |
+
"loss": 5.9858,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.03,
|
| 469 |
+
"grad_norm": 5.988973140716553,
|
| 470 |
+
"learning_rate": 3.24e-05,
|
| 471 |
+
"loss": 5.9886,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.03,
|
| 476 |
+
"grad_norm": 6.186301231384277,
|
| 477 |
+
"learning_rate": 3.29e-05,
|
| 478 |
+
"loss": 5.9732,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.03,
|
| 483 |
+
"grad_norm": 6.2982354164123535,
|
| 484 |
+
"learning_rate": 3.3400000000000005e-05,
|
| 485 |
+
"loss": 6.0391,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.03,
|
| 490 |
+
"grad_norm": 6.037730693817139,
|
| 491 |
+
"learning_rate": 3.3900000000000004e-05,
|
| 492 |
+
"loss": 6.0547,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.03,
|
| 497 |
+
"grad_norm": 6.280949592590332,
|
| 498 |
+
"learning_rate": 3.4399999999999996e-05,
|
| 499 |
+
"loss": 5.8734,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.03,
|
| 504 |
+
"grad_norm": 6.861902236938477,
|
| 505 |
+
"learning_rate": 3.49e-05,
|
| 506 |
+
"loss": 5.8997,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.03,
|
| 511 |
+
"grad_norm": 6.4033589363098145,
|
| 512 |
+
"learning_rate": 3.54e-05,
|
| 513 |
+
"loss": 5.8111,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.03,
|
| 518 |
+
"grad_norm": 6.376819133758545,
|
| 519 |
+
"learning_rate": 3.59e-05,
|
| 520 |
+
"loss": 5.9027,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.03,
|
| 525 |
+
"grad_norm": 5.777069568634033,
|
| 526 |
+
"learning_rate": 3.6400000000000004e-05,
|
| 527 |
+
"loss": 5.727,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.03,
|
| 532 |
+
"grad_norm": 6.183162689208984,
|
| 533 |
+
"learning_rate": 3.69e-05,
|
| 534 |
+
"loss": 5.733,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.03,
|
| 539 |
+
"grad_norm": 6.658604621887207,
|
| 540 |
+
"learning_rate": 3.74e-05,
|
| 541 |
+
"loss": 5.7018,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.03,
|
| 546 |
+
"grad_norm": 6.263491153717041,
|
| 547 |
+
"learning_rate": 3.79e-05,
|
| 548 |
+
"loss": 5.7315,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.03,
|
| 553 |
+
"grad_norm": 5.86756706237793,
|
| 554 |
+
"learning_rate": 3.8400000000000005e-05,
|
| 555 |
+
"loss": 5.6637,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.03,
|
| 560 |
+
"grad_norm": 6.122657299041748,
|
| 561 |
+
"learning_rate": 3.8900000000000004e-05,
|
| 562 |
+
"loss": 5.6849,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.03,
|
| 567 |
+
"grad_norm": 5.6024580001831055,
|
| 568 |
+
"learning_rate": 3.94e-05,
|
| 569 |
+
"loss": 5.5835,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.03,
|
| 574 |
+
"grad_norm": 5.619604587554932,
|
| 575 |
+
"learning_rate": 3.99e-05,
|
| 576 |
+
"loss": 5.7,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.03,
|
| 581 |
+
"grad_norm": 5.7342352867126465,
|
| 582 |
+
"learning_rate": 4.0400000000000006e-05,
|
| 583 |
+
"loss": 5.4825,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.03,
|
| 588 |
+
"grad_norm": 6.796237468719482,
|
| 589 |
+
"learning_rate": 4.09e-05,
|
| 590 |
+
"loss": 5.6496,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.03,
|
| 595 |
+
"grad_norm": 5.601135730743408,
|
| 596 |
+
"learning_rate": 4.14e-05,
|
| 597 |
+
"loss": 5.3526,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.03,
|
| 602 |
+
"grad_norm": 5.576679229736328,
|
| 603 |
+
"learning_rate": 4.19e-05,
|
| 604 |
+
"loss": 5.3757,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.03,
|
| 609 |
+
"grad_norm": 5.774380683898926,
|
| 610 |
+
"learning_rate": 4.24e-05,
|
| 611 |
+
"loss": 5.5164,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.03,
|
| 616 |
+
"grad_norm": 6.140038967132568,
|
| 617 |
+
"learning_rate": 4.29e-05,
|
| 618 |
+
"loss": 5.3124,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.03,
|
| 623 |
+
"grad_norm": 5.971868515014648,
|
| 624 |
+
"learning_rate": 4.3400000000000005e-05,
|
| 625 |
+
"loss": 5.3387,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.03,
|
| 630 |
+
"grad_norm": 6.431824207305908,
|
| 631 |
+
"learning_rate": 4.39e-05,
|
| 632 |
+
"loss": 5.4363,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.04,
|
| 637 |
+
"grad_norm": 6.174604892730713,
|
| 638 |
+
"learning_rate": 4.44e-05,
|
| 639 |
+
"loss": 5.282,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.04,
|
| 644 |
+
"grad_norm": 6.313474178314209,
|
| 645 |
+
"learning_rate": 4.49e-05,
|
| 646 |
+
"loss": 5.3754,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.04,
|
| 651 |
+
"grad_norm": 6.066281318664551,
|
| 652 |
+
"learning_rate": 4.5400000000000006e-05,
|
| 653 |
+
"loss": 5.3197,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.04,
|
| 658 |
+
"grad_norm": 7.4433817863464355,
|
| 659 |
+
"learning_rate": 4.5900000000000004e-05,
|
| 660 |
+
"loss": 5.3277,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.04,
|
| 665 |
+
"grad_norm": 5.884599208831787,
|
| 666 |
+
"learning_rate": 4.64e-05,
|
| 667 |
+
"loss": 5.0681,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.04,
|
| 672 |
+
"grad_norm": 6.17655611038208,
|
| 673 |
+
"learning_rate": 4.69e-05,
|
| 674 |
+
"loss": 5.1159,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.04,
|
| 679 |
+
"grad_norm": 7.090456485748291,
|
| 680 |
+
"learning_rate": 4.74e-05,
|
| 681 |
+
"loss": 5.2264,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.04,
|
| 686 |
+
"grad_norm": 6.508240699768066,
|
| 687 |
+
"learning_rate": 4.79e-05,
|
| 688 |
+
"loss": 5.2113,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.04,
|
| 693 |
+
"grad_norm": 6.5788445472717285,
|
| 694 |
+
"learning_rate": 4.8400000000000004e-05,
|
| 695 |
+
"loss": 4.9996,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.04,
|
| 700 |
+
"grad_norm": 5.722221374511719,
|
| 701 |
+
"learning_rate": 4.89e-05,
|
| 702 |
+
"loss": 4.9688,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.04,
|
| 707 |
+
"grad_norm": 5.813933849334717,
|
| 708 |
+
"learning_rate": 4.94e-05,
|
| 709 |
+
"loss": 4.8691,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.04,
|
| 714 |
+
"grad_norm": 6.425748348236084,
|
| 715 |
+
"learning_rate": 4.99e-05,
|
| 716 |
+
"loss": 4.9883,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.04,
|
| 721 |
+
"eval_loss": 4.425854682922363,
|
| 722 |
+
"eval_runtime": 422.6592,
|
| 723 |
+
"eval_samples_per_second": 50.208,
|
| 724 |
+
"eval_steps_per_second": 0.393,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.04,
|
| 729 |
+
"grad_norm": 6.170848369598389,
|
| 730 |
+
"learning_rate": 4.9999996764541565e-05,
|
| 731 |
+
"loss": 4.8794,
|
| 732 |
+
"step": 1010
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 0.04,
|
| 736 |
+
"grad_norm": 6.247808933258057,
|
| 737 |
+
"learning_rate": 4.99999836204931e-05,
|
| 738 |
+
"loss": 4.9664,
|
| 739 |
+
"step": 1020
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 0.04,
|
| 743 |
+
"grad_norm": 6.27077054977417,
|
| 744 |
+
"learning_rate": 4.9999960365643774e-05,
|
| 745 |
+
"loss": 4.7753,
|
| 746 |
+
"step": 1030
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 0.04,
|
| 750 |
+
"grad_norm": 6.284353733062744,
|
| 751 |
+
"learning_rate": 4.999992700000298e-05,
|
| 752 |
+
"loss": 4.8909,
|
| 753 |
+
"step": 1040
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 0.04,
|
| 757 |
+
"grad_norm": 5.716318607330322,
|
| 758 |
+
"learning_rate": 4.999988352358421e-05,
|
| 759 |
+
"loss": 4.861,
|
| 760 |
+
"step": 1050
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 0.04,
|
| 764 |
+
"grad_norm": 6.448729991912842,
|
| 765 |
+
"learning_rate": 4.999982993640506e-05,
|
| 766 |
+
"loss": 4.8776,
|
| 767 |
+
"step": 1060
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 0.04,
|
| 771 |
+
"grad_norm": 5.401464939117432,
|
| 772 |
+
"learning_rate": 4.9999766238487204e-05,
|
| 773 |
+
"loss": 4.8507,
|
| 774 |
+
"step": 1070
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 0.04,
|
| 778 |
+
"grad_norm": 6.219631195068359,
|
| 779 |
+
"learning_rate": 4.999969242985639e-05,
|
| 780 |
+
"loss": 4.8234,
|
| 781 |
+
"step": 1080
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.04,
|
| 785 |
+
"grad_norm": 5.225848197937012,
|
| 786 |
+
"learning_rate": 4.9999608510542485e-05,
|
| 787 |
+
"loss": 4.6093,
|
| 788 |
+
"step": 1090
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.04,
|
| 792 |
+
"grad_norm": 6.117152690887451,
|
| 793 |
+
"learning_rate": 4.999951448057941e-05,
|
| 794 |
+
"loss": 4.786,
|
| 795 |
+
"step": 1100
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.04,
|
| 799 |
+
"grad_norm": 5.788968086242676,
|
| 800 |
+
"learning_rate": 4.999941034000521e-05,
|
| 801 |
+
"loss": 4.8389,
|
| 802 |
+
"step": 1110
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 0.04,
|
| 806 |
+
"grad_norm": 6.037156581878662,
|
| 807 |
+
"learning_rate": 4.999929608886198e-05,
|
| 808 |
+
"loss": 4.7674,
|
| 809 |
+
"step": 1120
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 0.04,
|
| 813 |
+
"grad_norm": 5.567563056945801,
|
| 814 |
+
"learning_rate": 4.999917172719596e-05,
|
| 815 |
+
"loss": 4.8247,
|
| 816 |
+
"step": 1130
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 0.05,
|
| 820 |
+
"grad_norm": 5.557987213134766,
|
| 821 |
+
"learning_rate": 4.999903725505742e-05,
|
| 822 |
+
"loss": 4.7517,
|
| 823 |
+
"step": 1140
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 0.05,
|
| 827 |
+
"grad_norm": 6.490599632263184,
|
| 828 |
+
"learning_rate": 4.999889267250075e-05,
|
| 829 |
+
"loss": 4.6037,
|
| 830 |
+
"step": 1150
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.05,
|
| 834 |
+
"grad_norm": 6.000855922698975,
|
| 835 |
+
"learning_rate": 4.999873797958443e-05,
|
| 836 |
+
"loss": 4.6077,
|
| 837 |
+
"step": 1160
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.05,
|
| 841 |
+
"grad_norm": 5.378462314605713,
|
| 842 |
+
"learning_rate": 4.999857317637102e-05,
|
| 843 |
+
"loss": 4.3662,
|
| 844 |
+
"step": 1170
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 0.05,
|
| 848 |
+
"grad_norm": 7.4290924072265625,
|
| 849 |
+
"learning_rate": 4.999839826292718e-05,
|
| 850 |
+
"loss": 4.5339,
|
| 851 |
+
"step": 1180
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 0.05,
|
| 855 |
+
"grad_norm": 5.727224826812744,
|
| 856 |
+
"learning_rate": 4.999821323932363e-05,
|
| 857 |
+
"loss": 4.5744,
|
| 858 |
+
"step": 1190
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 0.05,
|
| 862 |
+
"grad_norm": 5.893082618713379,
|
| 863 |
+
"learning_rate": 4.9998018105635214e-05,
|
| 864 |
+
"loss": 4.5247,
|
| 865 |
+
"step": 1200
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 0.05,
|
| 869 |
+
"grad_norm": 5.759618759155273,
|
| 870 |
+
"learning_rate": 4.999781286194085e-05,
|
| 871 |
+
"loss": 4.5744,
|
| 872 |
+
"step": 1210
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.05,
|
| 876 |
+
"grad_norm": 5.082376003265381,
|
| 877 |
+
"learning_rate": 4.999759750832355e-05,
|
| 878 |
+
"loss": 4.6011,
|
| 879 |
+
"step": 1220
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.05,
|
| 883 |
+
"grad_norm": 6.305749416351318,
|
| 884 |
+
"learning_rate": 4.999737204487039e-05,
|
| 885 |
+
"loss": 4.4587,
|
| 886 |
+
"step": 1230
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 0.05,
|
| 890 |
+
"grad_norm": 6.710574626922607,
|
| 891 |
+
"learning_rate": 4.999713647167258e-05,
|
| 892 |
+
"loss": 4.46,
|
| 893 |
+
"step": 1240
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 0.05,
|
| 897 |
+
"grad_norm": 6.753530502319336,
|
| 898 |
+
"learning_rate": 4.999689078882537e-05,
|
| 899 |
+
"loss": 4.5674,
|
| 900 |
+
"step": 1250
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 0.05,
|
| 904 |
+
"grad_norm": 5.949398040771484,
|
| 905 |
+
"learning_rate": 4.999663499642814e-05,
|
| 906 |
+
"loss": 4.3999,
|
| 907 |
+
"step": 1260
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 0.05,
|
| 911 |
+
"grad_norm": 6.530541896820068,
|
| 912 |
+
"learning_rate": 4.999636909458434e-05,
|
| 913 |
+
"loss": 4.533,
|
| 914 |
+
"step": 1270
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 0.05,
|
| 918 |
+
"grad_norm": 5.9646453857421875,
|
| 919 |
+
"learning_rate": 4.9996093083401495e-05,
|
| 920 |
+
"loss": 4.374,
|
| 921 |
+
"step": 1280
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.05,
|
| 925 |
+
"grad_norm": 6.346386432647705,
|
| 926 |
+
"learning_rate": 4.9995806962991246e-05,
|
| 927 |
+
"loss": 4.4758,
|
| 928 |
+
"step": 1290
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 0.05,
|
| 932 |
+
"grad_norm": 5.797152519226074,
|
| 933 |
+
"learning_rate": 4.9995510733469295e-05,
|
| 934 |
+
"loss": 4.6275,
|
| 935 |
+
"step": 1300
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 0.05,
|
| 939 |
+
"grad_norm": 6.426751136779785,
|
| 940 |
+
"learning_rate": 4.999520439495547e-05,
|
| 941 |
+
"loss": 4.3561,
|
| 942 |
+
"step": 1310
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 0.05,
|
| 946 |
+
"grad_norm": 5.3839030265808105,
|
| 947 |
+
"learning_rate": 4.9994887947573646e-05,
|
| 948 |
+
"loss": 4.3134,
|
| 949 |
+
"step": 1320
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 0.05,
|
| 953 |
+
"grad_norm": 6.01127290725708,
|
| 954 |
+
"learning_rate": 4.9994594501953555e-05,
|
| 955 |
+
"loss": 4.4336,
|
| 956 |
+
"step": 1330
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 0.05,
|
| 960 |
+
"grad_norm": 5.228607654571533,
|
| 961 |
+
"learning_rate": 4.999425884807851e-05,
|
| 962 |
+
"loss": 4.1543,
|
| 963 |
+
"step": 1340
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 0.05,
|
| 967 |
+
"grad_norm": 5.958486080169678,
|
| 968 |
+
"learning_rate": 4.999391308571788e-05,
|
| 969 |
+
"loss": 4.3806,
|
| 970 |
+
"step": 1350
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 0.05,
|
| 974 |
+
"grad_norm": 5.816386699676514,
|
| 975 |
+
"learning_rate": 4.99935572150115e-05,
|
| 976 |
+
"loss": 4.3759,
|
| 977 |
+
"step": 1360
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.05,
|
| 981 |
+
"grad_norm": 6.345638751983643,
|
| 982 |
+
"learning_rate": 4.9993191236103295e-05,
|
| 983 |
+
"loss": 4.5759,
|
| 984 |
+
"step": 1370
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 0.05,
|
| 988 |
+
"grad_norm": 5.738880634307861,
|
| 989 |
+
"learning_rate": 4.9992815149141294e-05,
|
| 990 |
+
"loss": 4.3274,
|
| 991 |
+
"step": 1380
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.06,
|
| 995 |
+
"grad_norm": 6.694160461425781,
|
| 996 |
+
"learning_rate": 4.9992428954277573e-05,
|
| 997 |
+
"loss": 4.376,
|
| 998 |
+
"step": 1390
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.06,
|
| 1002 |
+
"grad_norm": 5.050902843475342,
|
| 1003 |
+
"learning_rate": 4.999203265166834e-05,
|
| 1004 |
+
"loss": 4.1629,
|
| 1005 |
+
"step": 1400
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 0.06,
|
| 1009 |
+
"grad_norm": 7.09380578994751,
|
| 1010 |
+
"learning_rate": 4.9991626241473876e-05,
|
| 1011 |
+
"loss": 4.3638,
|
| 1012 |
+
"step": 1410
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 0.06,
|
| 1016 |
+
"grad_norm": 5.538166046142578,
|
| 1017 |
+
"learning_rate": 4.999120972385853e-05,
|
| 1018 |
+
"loss": 4.1318,
|
| 1019 |
+
"step": 1420
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.06,
|
| 1023 |
+
"grad_norm": 6.052664279937744,
|
| 1024 |
+
"learning_rate": 4.9990783098990765e-05,
|
| 1025 |
+
"loss": 4.1856,
|
| 1026 |
+
"step": 1430
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 0.06,
|
| 1030 |
+
"grad_norm": 6.707901477813721,
|
| 1031 |
+
"learning_rate": 4.9990346367043114e-05,
|
| 1032 |
+
"loss": 4.3361,
|
| 1033 |
+
"step": 1440
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.06,
|
| 1037 |
+
"grad_norm": 5.3822150230407715,
|
| 1038 |
+
"learning_rate": 4.998989952819223e-05,
|
| 1039 |
+
"loss": 4.301,
|
| 1040 |
+
"step": 1450
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.06,
|
| 1044 |
+
"grad_norm": 5.586170196533203,
|
| 1045 |
+
"learning_rate": 4.998944258261879e-05,
|
| 1046 |
+
"loss": 4.3131,
|
| 1047 |
+
"step": 1460
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 0.06,
|
| 1051 |
+
"grad_norm": 5.62904691696167,
|
| 1052 |
+
"learning_rate": 4.998897553050763e-05,
|
| 1053 |
+
"loss": 4.3357,
|
| 1054 |
+
"step": 1470
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 0.06,
|
| 1058 |
+
"grad_norm": 5.669075965881348,
|
| 1059 |
+
"learning_rate": 4.9988498372047633e-05,
|
| 1060 |
+
"loss": 4.2434,
|
| 1061 |
+
"step": 1480
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 0.06,
|
| 1065 |
+
"grad_norm": 5.776549339294434,
|
| 1066 |
+
"learning_rate": 4.998801110743177e-05,
|
| 1067 |
+
"loss": 4.0441,
|
| 1068 |
+
"step": 1490
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 0.06,
|
| 1072 |
+
"grad_norm": 5.442574977874756,
|
| 1073 |
+
"learning_rate": 4.9987513736857106e-05,
|
| 1074 |
+
"loss": 4.0931,
|
| 1075 |
+
"step": 1500
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.06,
|
| 1079 |
+
"eval_loss": 3.676598310470581,
|
| 1080 |
+
"eval_runtime": 423.4536,
|
| 1081 |
+
"eval_samples_per_second": 50.114,
|
| 1082 |
+
"eval_steps_per_second": 0.392,
|
| 1083 |
+
"step": 1500
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 0.06,
|
| 1087 |
+
"grad_norm": 5.529382705688477,
|
| 1088 |
+
"learning_rate": 4.998700626052481e-05,
|
| 1089 |
+
"loss": 4.1739,
|
| 1090 |
+
"step": 1510
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 0.06,
|
| 1094 |
+
"grad_norm": 5.5605387687683105,
|
| 1095 |
+
"learning_rate": 4.99864886786401e-05,
|
| 1096 |
+
"loss": 4.1861,
|
| 1097 |
+
"step": 1520
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.06,
|
| 1101 |
+
"grad_norm": 5.168206214904785,
|
| 1102 |
+
"learning_rate": 4.998596099141231e-05,
|
| 1103 |
+
"loss": 4.0245,
|
| 1104 |
+
"step": 1530
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 0.06,
|
| 1108 |
+
"grad_norm": 5.634309768676758,
|
| 1109 |
+
"learning_rate": 4.998542319905486e-05,
|
| 1110 |
+
"loss": 4.2131,
|
| 1111 |
+
"step": 1540
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.06,
|
| 1115 |
+
"grad_norm": 6.191194534301758,
|
| 1116 |
+
"learning_rate": 4.998487530178525e-05,
|
| 1117 |
+
"loss": 4.163,
|
| 1118 |
+
"step": 1550
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 0.06,
|
| 1122 |
+
"grad_norm": 6.52882719039917,
|
| 1123 |
+
"learning_rate": 4.998431729982506e-05,
|
| 1124 |
+
"loss": 4.0668,
|
| 1125 |
+
"step": 1560
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.06,
|
| 1129 |
+
"grad_norm": 5.614863395690918,
|
| 1130 |
+
"learning_rate": 4.998374919339998e-05,
|
| 1131 |
+
"loss": 4.2501,
|
| 1132 |
+
"step": 1570
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 0.06,
|
| 1136 |
+
"grad_norm": 4.7852373123168945,
|
| 1137 |
+
"learning_rate": 4.9983170982739745e-05,
|
| 1138 |
+
"loss": 4.207,
|
| 1139 |
+
"step": 1580
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 0.06,
|
| 1143 |
+
"grad_norm": 7.439071178436279,
|
| 1144 |
+
"learning_rate": 4.998258266807822e-05,
|
| 1145 |
+
"loss": 4.0462,
|
| 1146 |
+
"step": 1590
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 0.06,
|
| 1150 |
+
"grad_norm": 5.510477542877197,
|
| 1151 |
+
"learning_rate": 4.998198424965333e-05,
|
| 1152 |
+
"loss": 4.277,
|
| 1153 |
+
"step": 1600
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.06,
|
| 1157 |
+
"grad_norm": 5.421988487243652,
|
| 1158 |
+
"learning_rate": 4.9981375727707114e-05,
|
| 1159 |
+
"loss": 4.0289,
|
| 1160 |
+
"step": 1610
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.06,
|
| 1164 |
+
"grad_norm": 5.632848739624023,
|
| 1165 |
+
"learning_rate": 4.998075710248565e-05,
|
| 1166 |
+
"loss": 4.2922,
|
| 1167 |
+
"step": 1620
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.06,
|
| 1171 |
+
"grad_norm": 6.031602382659912,
|
| 1172 |
+
"learning_rate": 4.9980128374239156e-05,
|
| 1173 |
+
"loss": 3.9845,
|
| 1174 |
+
"step": 1630
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.07,
|
| 1178 |
+
"grad_norm": 5.3867669105529785,
|
| 1179 |
+
"learning_rate": 4.997948954322189e-05,
|
| 1180 |
+
"loss": 4.1095,
|
| 1181 |
+
"step": 1640
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.07,
|
| 1185 |
+
"grad_norm": 5.150663375854492,
|
| 1186 |
+
"learning_rate": 4.997884060969222e-05,
|
| 1187 |
+
"loss": 3.9247,
|
| 1188 |
+
"step": 1650
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 0.07,
|
| 1192 |
+
"grad_norm": 5.717851638793945,
|
| 1193 |
+
"learning_rate": 4.99781815739126e-05,
|
| 1194 |
+
"loss": 4.1911,
|
| 1195 |
+
"step": 1660
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 0.07,
|
| 1199 |
+
"grad_norm": 6.766101837158203,
|
| 1200 |
+
"learning_rate": 4.9977512436149563e-05,
|
| 1201 |
+
"loss": 3.9194,
|
| 1202 |
+
"step": 1670
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 0.07,
|
| 1206 |
+
"grad_norm": 6.316621780395508,
|
| 1207 |
+
"learning_rate": 4.9976833196673735e-05,
|
| 1208 |
+
"loss": 4.101,
|
| 1209 |
+
"step": 1680
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.07,
|
| 1213 |
+
"grad_norm": 5.107331275939941,
|
| 1214 |
+
"learning_rate": 4.9976143855759814e-05,
|
| 1215 |
+
"loss": 4.0706,
|
| 1216 |
+
"step": 1690
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 0.07,
|
| 1220 |
+
"grad_norm": 5.533346652984619,
|
| 1221 |
+
"learning_rate": 4.99754444136866e-05,
|
| 1222 |
+
"loss": 4.0164,
|
| 1223 |
+
"step": 1700
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 0.07,
|
| 1227 |
+
"grad_norm": 5.967229843139648,
|
| 1228 |
+
"learning_rate": 4.9974734870736975e-05,
|
| 1229 |
+
"loss": 4.1229,
|
| 1230 |
+
"step": 1710
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 0.07,
|
| 1234 |
+
"grad_norm": 5.502392768859863,
|
| 1235 |
+
"learning_rate": 4.997401522719788e-05,
|
| 1236 |
+
"loss": 4.0456,
|
| 1237 |
+
"step": 1720
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 0.07,
|
| 1241 |
+
"grad_norm": 5.6358962059021,
|
| 1242 |
+
"learning_rate": 4.997328548336038e-05,
|
| 1243 |
+
"loss": 3.9432,
|
| 1244 |
+
"step": 1730
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 0.07,
|
| 1248 |
+
"grad_norm": 6.525423049926758,
|
| 1249 |
+
"learning_rate": 4.99725456395196e-05,
|
| 1250 |
+
"loss": 4.05,
|
| 1251 |
+
"step": 1740
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.07,
|
| 1255 |
+
"grad_norm": 4.675175666809082,
|
| 1256 |
+
"learning_rate": 4.997179569597475e-05,
|
| 1257 |
+
"loss": 3.8145,
|
| 1258 |
+
"step": 1750
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.07,
|
| 1262 |
+
"grad_norm": 5.409067630767822,
|
| 1263 |
+
"learning_rate": 4.9971035653029153e-05,
|
| 1264 |
+
"loss": 3.914,
|
| 1265 |
+
"step": 1760
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.07,
|
| 1269 |
+
"grad_norm": 5.812373161315918,
|
| 1270 |
+
"learning_rate": 4.997026551099017e-05,
|
| 1271 |
+
"loss": 3.9817,
|
| 1272 |
+
"step": 1770
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 0.07,
|
| 1276 |
+
"grad_norm": 5.165591239929199,
|
| 1277 |
+
"learning_rate": 4.996948527016929e-05,
|
| 1278 |
+
"loss": 3.9414,
|
| 1279 |
+
"step": 1780
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 0.07,
|
| 1283 |
+
"grad_norm": 5.0605034828186035,
|
| 1284 |
+
"learning_rate": 4.996869493088205e-05,
|
| 1285 |
+
"loss": 3.8139,
|
| 1286 |
+
"step": 1790
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 0.07,
|
| 1290 |
+
"grad_norm": 6.348527908325195,
|
| 1291 |
+
"learning_rate": 4.996789449344812e-05,
|
| 1292 |
+
"loss": 3.7905,
|
| 1293 |
+
"step": 1800
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.07,
|
| 1297 |
+
"grad_norm": 5.135634422302246,
|
| 1298 |
+
"learning_rate": 4.9967083958191187e-05,
|
| 1299 |
+
"loss": 3.7834,
|
| 1300 |
+
"step": 1810
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 0.07,
|
| 1304 |
+
"grad_norm": 8.48004150390625,
|
| 1305 |
+
"learning_rate": 4.996626332543907e-05,
|
| 1306 |
+
"loss": 3.7551,
|
| 1307 |
+
"step": 1820
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.07,
|
| 1311 |
+
"grad_norm": 5.518482208251953,
|
| 1312 |
+
"learning_rate": 4.996543259552367e-05,
|
| 1313 |
+
"loss": 3.8619,
|
| 1314 |
+
"step": 1830
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.07,
|
| 1318 |
+
"grad_norm": 5.7253737449646,
|
| 1319 |
+
"learning_rate": 4.996459176878095e-05,
|
| 1320 |
+
"loss": 3.7978,
|
| 1321 |
+
"step": 1840
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.07,
|
| 1325 |
+
"grad_norm": 6.030267715454102,
|
| 1326 |
+
"learning_rate": 4.9963740845550965e-05,
|
| 1327 |
+
"loss": 3.9309,
|
| 1328 |
+
"step": 1850
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 0.07,
|
| 1332 |
+
"grad_norm": 5.561445713043213,
|
| 1333 |
+
"learning_rate": 4.996287982617787e-05,
|
| 1334 |
+
"loss": 3.9761,
|
| 1335 |
+
"step": 1860
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 0.07,
|
| 1339 |
+
"grad_norm": 5.555076599121094,
|
| 1340 |
+
"learning_rate": 4.996200871100988e-05,
|
| 1341 |
+
"loss": 3.8587,
|
| 1342 |
+
"step": 1870
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 0.07,
|
| 1346 |
+
"grad_norm": 5.502940654754639,
|
| 1347 |
+
"learning_rate": 4.9961127500399295e-05,
|
| 1348 |
+
"loss": 3.847,
|
| 1349 |
+
"step": 1880
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.07,
|
| 1353 |
+
"grad_norm": 5.557964324951172,
|
| 1354 |
+
"learning_rate": 4.996023619470252e-05,
|
| 1355 |
+
"loss": 3.6117,
|
| 1356 |
+
"step": 1890
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 0.08,
|
| 1360 |
+
"grad_norm": 6.37682580947876,
|
| 1361 |
+
"learning_rate": 4.9959334794280014e-05,
|
| 1362 |
+
"loss": 3.7581,
|
| 1363 |
+
"step": 1900
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"epoch": 0.08,
|
| 1367 |
+
"grad_norm": 6.152722358703613,
|
| 1368 |
+
"learning_rate": 4.9958423299496344e-05,
|
| 1369 |
+
"loss": 3.8454,
|
| 1370 |
+
"step": 1910
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 0.08,
|
| 1374 |
+
"grad_norm": 5.4067301750183105,
|
| 1375 |
+
"learning_rate": 4.995750171072014e-05,
|
| 1376 |
+
"loss": 3.9353,
|
| 1377 |
+
"step": 1920
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 0.08,
|
| 1381 |
+
"grad_norm": 5.564638614654541,
|
| 1382 |
+
"learning_rate": 4.9956570028324124e-05,
|
| 1383 |
+
"loss": 3.738,
|
| 1384 |
+
"step": 1930
|
| 1385 |
+
},
|
| 1386 |
+
{
|
| 1387 |
+
"epoch": 0.08,
|
| 1388 |
+
"grad_norm": 5.320713520050049,
|
| 1389 |
+
"learning_rate": 4.99556282526851e-05,
|
| 1390 |
+
"loss": 3.5365,
|
| 1391 |
+
"step": 1940
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 0.08,
|
| 1395 |
+
"grad_norm": 6.384575843811035,
|
| 1396 |
+
"learning_rate": 4.995467638418395e-05,
|
| 1397 |
+
"loss": 3.8153,
|
| 1398 |
+
"step": 1950
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 0.08,
|
| 1402 |
+
"grad_norm": 6.424959659576416,
|
| 1403 |
+
"learning_rate": 4.995371442320565e-05,
|
| 1404 |
+
"loss": 3.779,
|
| 1405 |
+
"step": 1960
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"epoch": 0.08,
|
| 1409 |
+
"grad_norm": 5.928106784820557,
|
| 1410 |
+
"learning_rate": 4.9952742370139224e-05,
|
| 1411 |
+
"loss": 3.7395,
|
| 1412 |
+
"step": 1970
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 0.08,
|
| 1416 |
+
"grad_norm": 6.09404182434082,
|
| 1417 |
+
"learning_rate": 4.995176022537784e-05,
|
| 1418 |
+
"loss": 3.757,
|
| 1419 |
+
"step": 1980
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 0.08,
|
| 1423 |
+
"grad_norm": 8.332275390625,
|
| 1424 |
+
"learning_rate": 4.995076798931867e-05,
|
| 1425 |
+
"loss": 3.8866,
|
| 1426 |
+
"step": 1990
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 0.08,
|
| 1430 |
+
"grad_norm": 6.44631814956665,
|
| 1431 |
+
"learning_rate": 4.994976566236303e-05,
|
| 1432 |
+
"loss": 3.8395,
|
| 1433 |
+
"step": 2000
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 0.08,
|
| 1437 |
+
"eval_loss": 3.2655727863311768,
|
| 1438 |
+
"eval_runtime": 423.1622,
|
| 1439 |
+
"eval_samples_per_second": 50.149,
|
| 1440 |
+
"eval_steps_per_second": 0.392,
|
| 1441 |
+
"step": 2000
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.08,
|
| 1445 |
+
"grad_norm": 5.428518295288086,
|
| 1446 |
+
"learning_rate": 4.994875324491629e-05,
|
| 1447 |
+
"loss": 3.7103,
|
| 1448 |
+
"step": 2010
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 0.08,
|
| 1452 |
+
"grad_norm": 6.11751651763916,
|
| 1453 |
+
"learning_rate": 4.9947730737387885e-05,
|
| 1454 |
+
"loss": 3.8224,
|
| 1455 |
+
"step": 2020
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 0.08,
|
| 1459 |
+
"grad_norm": 5.404431343078613,
|
| 1460 |
+
"learning_rate": 4.994669814019138e-05,
|
| 1461 |
+
"loss": 3.9208,
|
| 1462 |
+
"step": 2030
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"epoch": 0.08,
|
| 1466 |
+
"grad_norm": 5.487029075622559,
|
| 1467 |
+
"learning_rate": 4.994565545374438e-05,
|
| 1468 |
+
"loss": 3.7412,
|
| 1469 |
+
"step": 2040
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 0.08,
|
| 1473 |
+
"grad_norm": 4.979548454284668,
|
| 1474 |
+
"learning_rate": 4.9944602678468575e-05,
|
| 1475 |
+
"loss": 3.6008,
|
| 1476 |
+
"step": 2050
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 0.08,
|
| 1480 |
+
"grad_norm": 5.379942417144775,
|
| 1481 |
+
"learning_rate": 4.994353981478974e-05,
|
| 1482 |
+
"loss": 3.6077,
|
| 1483 |
+
"step": 2060
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 0.08,
|
| 1487 |
+
"grad_norm": 5.666346549987793,
|
| 1488 |
+
"learning_rate": 4.994246686313774e-05,
|
| 1489 |
+
"loss": 3.8157,
|
| 1490 |
+
"step": 2070
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 0.08,
|
| 1494 |
+
"grad_norm": 5.252011299133301,
|
| 1495 |
+
"learning_rate": 4.99413838239465e-05,
|
| 1496 |
+
"loss": 3.6929,
|
| 1497 |
+
"step": 2080
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 0.08,
|
| 1501 |
+
"grad_norm": 6.579212188720703,
|
| 1502 |
+
"learning_rate": 4.9940290697654045e-05,
|
| 1503 |
+
"loss": 3.9075,
|
| 1504 |
+
"step": 2090
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 0.08,
|
| 1508 |
+
"grad_norm": 5.747458457946777,
|
| 1509 |
+
"learning_rate": 4.993918748470246e-05,
|
| 1510 |
+
"loss": 3.5528,
|
| 1511 |
+
"step": 2100
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 0.08,
|
| 1515 |
+
"grad_norm": 5.356452465057373,
|
| 1516 |
+
"learning_rate": 4.993818596932118e-05,
|
| 1517 |
+
"loss": 3.4987,
|
| 1518 |
+
"step": 2110
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 0.08,
|
| 1522 |
+
"grad_norm": 5.761812686920166,
|
| 1523 |
+
"learning_rate": 4.993706359294986e-05,
|
| 1524 |
+
"loss": 3.7627,
|
| 1525 |
+
"step": 2120
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 0.08,
|
| 1529 |
+
"grad_norm": 5.732122898101807,
|
| 1530 |
+
"learning_rate": 4.993593113122456e-05,
|
| 1531 |
+
"loss": 3.6106,
|
| 1532 |
+
"step": 2130
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 0.08,
|
| 1536 |
+
"grad_norm": 11.450267791748047,
|
| 1537 |
+
"learning_rate": 4.993478858460329e-05,
|
| 1538 |
+
"loss": 3.4716,
|
| 1539 |
+
"step": 2140
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 0.09,
|
| 1543 |
+
"grad_norm": 5.774083614349365,
|
| 1544 |
+
"learning_rate": 4.993363595354813e-05,
|
| 1545 |
+
"loss": 3.5741,
|
| 1546 |
+
"step": 2150
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 0.09,
|
| 1550 |
+
"grad_norm": 5.652318000793457,
|
| 1551 |
+
"learning_rate": 4.9932473238525247e-05,
|
| 1552 |
+
"loss": 3.676,
|
| 1553 |
+
"step": 2160
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 0.09,
|
| 1557 |
+
"grad_norm": 5.903106689453125,
|
| 1558 |
+
"learning_rate": 4.993130044000487e-05,
|
| 1559 |
+
"loss": 3.6334,
|
| 1560 |
+
"step": 2170
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 0.09,
|
| 1564 |
+
"grad_norm": 5.358557224273682,
|
| 1565 |
+
"learning_rate": 4.993011755846132e-05,
|
| 1566 |
+
"loss": 3.5592,
|
| 1567 |
+
"step": 2180
|
| 1568 |
+
},
|
| 1569 |
+
{
|
| 1570 |
+
"epoch": 0.09,
|
| 1571 |
+
"grad_norm": 6.509594440460205,
|
| 1572 |
+
"learning_rate": 4.9928924594372995e-05,
|
| 1573 |
+
"loss": 3.6512,
|
| 1574 |
+
"step": 2190
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 0.09,
|
| 1578 |
+
"grad_norm": 6.318192958831787,
|
| 1579 |
+
"learning_rate": 4.9927721548222374e-05,
|
| 1580 |
+
"loss": 3.3691,
|
| 1581 |
+
"step": 2200
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 0.09,
|
| 1585 |
+
"grad_norm": 5.848221778869629,
|
| 1586 |
+
"learning_rate": 4.9926508420496e-05,
|
| 1587 |
+
"loss": 3.3721,
|
| 1588 |
+
"step": 2210
|
| 1589 |
+
},
|
| 1590 |
+
{
|
| 1591 |
+
"epoch": 0.09,
|
| 1592 |
+
"grad_norm": 5.9782490730285645,
|
| 1593 |
+
"learning_rate": 4.992528521168449e-05,
|
| 1594 |
+
"loss": 3.5859,
|
| 1595 |
+
"step": 2220
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 0.09,
|
| 1599 |
+
"grad_norm": 6.406031608581543,
|
| 1600 |
+
"learning_rate": 4.992405192228258e-05,
|
| 1601 |
+
"loss": 3.6206,
|
| 1602 |
+
"step": 2230
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 0.09,
|
| 1606 |
+
"grad_norm": 6.102032661437988,
|
| 1607 |
+
"learning_rate": 4.992280855278903e-05,
|
| 1608 |
+
"loss": 3.4615,
|
| 1609 |
+
"step": 2240
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 0.09,
|
| 1613 |
+
"grad_norm": 5.5005035400390625,
|
| 1614 |
+
"learning_rate": 4.992155510370669e-05,
|
| 1615 |
+
"loss": 3.507,
|
| 1616 |
+
"step": 2250
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 0.09,
|
| 1620 |
+
"grad_norm": 8.336762428283691,
|
| 1621 |
+
"learning_rate": 4.9920291575542515e-05,
|
| 1622 |
+
"loss": 3.3897,
|
| 1623 |
+
"step": 2260
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 0.09,
|
| 1627 |
+
"grad_norm": 7.851747989654541,
|
| 1628 |
+
"learning_rate": 4.9919017968807514e-05,
|
| 1629 |
+
"loss": 3.5232,
|
| 1630 |
+
"step": 2270
|
| 1631 |
+
},
|
| 1632 |
+
{
|
| 1633 |
+
"epoch": 0.09,
|
| 1634 |
+
"grad_norm": 5.816250324249268,
|
| 1635 |
+
"learning_rate": 4.991773428401676e-05,
|
| 1636 |
+
"loss": 3.5638,
|
| 1637 |
+
"step": 2280
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 0.09,
|
| 1641 |
+
"grad_norm": 4.746279716491699,
|
| 1642 |
+
"learning_rate": 4.9916440521689433e-05,
|
| 1643 |
+
"loss": 3.5446,
|
| 1644 |
+
"step": 2290
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"epoch": 0.09,
|
| 1648 |
+
"grad_norm": 5.8899922370910645,
|
| 1649 |
+
"learning_rate": 4.9915136682348774e-05,
|
| 1650 |
+
"loss": 3.3533,
|
| 1651 |
+
"step": 2300
|
| 1652 |
+
},
|
| 1653 |
+
{
|
| 1654 |
+
"epoch": 0.09,
|
| 1655 |
+
"grad_norm": 6.160922050476074,
|
| 1656 |
+
"learning_rate": 4.9913822766522076e-05,
|
| 1657 |
+
"loss": 3.4222,
|
| 1658 |
+
"step": 2310
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 0.09,
|
| 1662 |
+
"grad_norm": 6.936460494995117,
|
| 1663 |
+
"learning_rate": 4.991249877474075e-05,
|
| 1664 |
+
"loss": 3.5763,
|
| 1665 |
+
"step": 2320
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 0.09,
|
| 1669 |
+
"grad_norm": 16.517559051513672,
|
| 1670 |
+
"learning_rate": 4.991116470754025e-05,
|
| 1671 |
+
"loss": 3.5324,
|
| 1672 |
+
"step": 2330
|
| 1673 |
+
},
|
| 1674 |
+
{
|
| 1675 |
+
"epoch": 0.09,
|
| 1676 |
+
"grad_norm": 4.840503692626953,
|
| 1677 |
+
"learning_rate": 4.9909820565460116e-05,
|
| 1678 |
+
"loss": 3.5764,
|
| 1679 |
+
"step": 2340
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 0.09,
|
| 1683 |
+
"grad_norm": 5.952908515930176,
|
| 1684 |
+
"learning_rate": 4.990846634904398e-05,
|
| 1685 |
+
"loss": 3.4369,
|
| 1686 |
+
"step": 2350
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"epoch": 0.09,
|
| 1690 |
+
"grad_norm": 5.108431339263916,
|
| 1691 |
+
"learning_rate": 4.9907102058839504e-05,
|
| 1692 |
+
"loss": 3.4518,
|
| 1693 |
+
"step": 2360
|
| 1694 |
+
},
|
| 1695 |
+
{
|
| 1696 |
+
"epoch": 0.09,
|
| 1697 |
+
"grad_norm": 5.068904399871826,
|
| 1698 |
+
"learning_rate": 4.990572769539848e-05,
|
| 1699 |
+
"loss": 3.5594,
|
| 1700 |
+
"step": 2370
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 0.09,
|
| 1704 |
+
"grad_norm": 5.512117385864258,
|
| 1705 |
+
"learning_rate": 4.990434325927671e-05,
|
| 1706 |
+
"loss": 3.6366,
|
| 1707 |
+
"step": 2380
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 0.09,
|
| 1711 |
+
"grad_norm": 5.916763782501221,
|
| 1712 |
+
"learning_rate": 4.990294875103413e-05,
|
| 1713 |
+
"loss": 3.4344,
|
| 1714 |
+
"step": 2390
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 0.1,
|
| 1718 |
+
"grad_norm": 6.244757175445557,
|
| 1719 |
+
"learning_rate": 4.990154417123472e-05,
|
| 1720 |
+
"loss": 3.5858,
|
| 1721 |
+
"step": 2400
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.1,
|
| 1725 |
+
"grad_norm": 6.071867942810059,
|
| 1726 |
+
"learning_rate": 4.990012952044654e-05,
|
| 1727 |
+
"loss": 3.5888,
|
| 1728 |
+
"step": 2410
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 0.1,
|
| 1732 |
+
"grad_norm": 5.984373092651367,
|
| 1733 |
+
"learning_rate": 4.98987047992417e-05,
|
| 1734 |
+
"loss": 3.5084,
|
| 1735 |
+
"step": 2420
|
| 1736 |
+
},
|
| 1737 |
+
{
|
| 1738 |
+
"epoch": 0.1,
|
| 1739 |
+
"grad_norm": 7.062913417816162,
|
| 1740 |
+
"learning_rate": 4.989727000819644e-05,
|
| 1741 |
+
"loss": 3.4169,
|
| 1742 |
+
"step": 2430
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 0.1,
|
| 1746 |
+
"grad_norm": 4.671230792999268,
|
| 1747 |
+
"learning_rate": 4.9895825147891e-05,
|
| 1748 |
+
"loss": 3.3354,
|
| 1749 |
+
"step": 2440
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 0.1,
|
| 1753 |
+
"grad_norm": 5.235222339630127,
|
| 1754 |
+
"learning_rate": 4.989437021890975e-05,
|
| 1755 |
+
"loss": 3.4756,
|
| 1756 |
+
"step": 2450
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 0.1,
|
| 1760 |
+
"grad_norm": 5.888786792755127,
|
| 1761 |
+
"learning_rate": 4.98929052218411e-05,
|
| 1762 |
+
"loss": 3.3409,
|
| 1763 |
+
"step": 2460
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 0.1,
|
| 1767 |
+
"grad_norm": 6.014183044433594,
|
| 1768 |
+
"learning_rate": 4.989143015727754e-05,
|
| 1769 |
+
"loss": 3.4246,
|
| 1770 |
+
"step": 2470
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 0.1,
|
| 1774 |
+
"grad_norm": 8.75373649597168,
|
| 1775 |
+
"learning_rate": 4.988994502581565e-05,
|
| 1776 |
+
"loss": 3.2431,
|
| 1777 |
+
"step": 2480
|
| 1778 |
+
},
|
| 1779 |
+
{
|
| 1780 |
+
"epoch": 0.1,
|
| 1781 |
+
"grad_norm": 5.800814628601074,
|
| 1782 |
+
"learning_rate": 4.988844982805605e-05,
|
| 1783 |
+
"loss": 3.4702,
|
| 1784 |
+
"step": 2490
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 0.1,
|
| 1788 |
+
"grad_norm": 5.22312068939209,
|
| 1789 |
+
"learning_rate": 4.9886944564603444e-05,
|
| 1790 |
+
"loss": 3.2994,
|
| 1791 |
+
"step": 2500
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 0.1,
|
| 1795 |
+
"eval_loss": 2.9097418785095215,
|
| 1796 |
+
"eval_runtime": 423.0547,
|
| 1797 |
+
"eval_samples_per_second": 50.161,
|
| 1798 |
+
"eval_steps_per_second": 0.392,
|
| 1799 |
+
"step": 2500
|
| 1800 |
+
},
|
| 1801 |
+
{
|
| 1802 |
+
"epoch": 0.1,
|
| 1803 |
+
"grad_norm": 5.41413688659668,
|
| 1804 |
+
"learning_rate": 4.988542923606663e-05,
|
| 1805 |
+
"loss": 3.5138,
|
| 1806 |
+
"step": 2510
|
| 1807 |
+
},
|
| 1808 |
+
{
|
| 1809 |
+
"epoch": 0.1,
|
| 1810 |
+
"grad_norm": 5.5836968421936035,
|
| 1811 |
+
"learning_rate": 4.988390384305843e-05,
|
| 1812 |
+
"loss": 3.4161,
|
| 1813 |
+
"step": 2520
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"epoch": 0.1,
|
| 1817 |
+
"grad_norm": 5.957060813903809,
|
| 1818 |
+
"learning_rate": 4.9882368386195776e-05,
|
| 1819 |
+
"loss": 3.4227,
|
| 1820 |
+
"step": 2530
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 0.1,
|
| 1824 |
+
"grad_norm": 5.718446731567383,
|
| 1825 |
+
"learning_rate": 4.988082286609965e-05,
|
| 1826 |
+
"loss": 3.3632,
|
| 1827 |
+
"step": 2540
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 0.1,
|
| 1831 |
+
"grad_norm": 6.273780822753906,
|
| 1832 |
+
"learning_rate": 4.9879267283395125e-05,
|
| 1833 |
+
"loss": 3.4018,
|
| 1834 |
+
"step": 2550
|
| 1835 |
+
},
|
| 1836 |
+
{
|
| 1837 |
+
"epoch": 0.1,
|
| 1838 |
+
"grad_norm": 5.000144004821777,
|
| 1839 |
+
"learning_rate": 4.9877701638711314e-05,
|
| 1840 |
+
"loss": 3.2865,
|
| 1841 |
+
"step": 2560
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 0.1,
|
| 1845 |
+
"grad_norm": 6.369386672973633,
|
| 1846 |
+
"learning_rate": 4.987612593268142e-05,
|
| 1847 |
+
"loss": 3.2916,
|
| 1848 |
+
"step": 2570
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"epoch": 0.1,
|
| 1852 |
+
"grad_norm": 5.275691032409668,
|
| 1853 |
+
"learning_rate": 4.98745401659427e-05,
|
| 1854 |
+
"loss": 3.3678,
|
| 1855 |
+
"step": 2580
|
| 1856 |
+
},
|
| 1857 |
+
{
|
| 1858 |
+
"epoch": 0.1,
|
| 1859 |
+
"grad_norm": 6.77783727645874,
|
| 1860 |
+
"learning_rate": 4.9872944339136503e-05,
|
| 1861 |
+
"loss": 3.2567,
|
| 1862 |
+
"step": 2590
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 0.1,
|
| 1866 |
+
"grad_norm": 6.3765435218811035,
|
| 1867 |
+
"learning_rate": 4.987133845290822e-05,
|
| 1868 |
+
"loss": 3.3649,
|
| 1869 |
+
"step": 2600
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 0.1,
|
| 1873 |
+
"grad_norm": 6.956243991851807,
|
| 1874 |
+
"learning_rate": 4.9869722507907343e-05,
|
| 1875 |
+
"loss": 3.428,
|
| 1876 |
+
"step": 2610
|
| 1877 |
+
},
|
| 1878 |
+
{
|
| 1879 |
+
"epoch": 0.1,
|
| 1880 |
+
"grad_norm": 4.933529376983643,
|
| 1881 |
+
"learning_rate": 4.9868096504787395e-05,
|
| 1882 |
+
"loss": 3.0448,
|
| 1883 |
+
"step": 2620
|
| 1884 |
+
},
|
| 1885 |
+
{
|
| 1886 |
+
"epoch": 0.1,
|
| 1887 |
+
"grad_norm": 6.319052696228027,
|
| 1888 |
+
"learning_rate": 4.9866460444205983e-05,
|
| 1889 |
+
"loss": 3.3518,
|
| 1890 |
+
"step": 2630
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 0.1,
|
| 1894 |
+
"grad_norm": 5.592201232910156,
|
| 1895 |
+
"learning_rate": 4.986481432682479e-05,
|
| 1896 |
+
"loss": 3.1236,
|
| 1897 |
+
"step": 2640
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 0.11,
|
| 1901 |
+
"grad_norm": 5.243892192840576,
|
| 1902 |
+
"learning_rate": 4.986315815330956e-05,
|
| 1903 |
+
"loss": 3.2447,
|
| 1904 |
+
"step": 2650
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 0.11,
|
| 1908 |
+
"grad_norm": 6.197099208831787,
|
| 1909 |
+
"learning_rate": 4.98614919243301e-05,
|
| 1910 |
+
"loss": 3.3031,
|
| 1911 |
+
"step": 2660
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 0.11,
|
| 1915 |
+
"grad_norm": 6.438327312469482,
|
| 1916 |
+
"learning_rate": 4.98598156405603e-05,
|
| 1917 |
+
"loss": 3.5433,
|
| 1918 |
+
"step": 2670
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"epoch": 0.11,
|
| 1922 |
+
"grad_norm": 5.134957313537598,
|
| 1923 |
+
"learning_rate": 4.985812930267808e-05,
|
| 1924 |
+
"loss": 3.3124,
|
| 1925 |
+
"step": 2680
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 0.11,
|
| 1929 |
+
"grad_norm": 5.727309703826904,
|
| 1930 |
+
"learning_rate": 4.985643291136546e-05,
|
| 1931 |
+
"loss": 3.2169,
|
| 1932 |
+
"step": 2690
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"epoch": 0.11,
|
| 1936 |
+
"grad_norm": 5.680230617523193,
|
| 1937 |
+
"learning_rate": 4.985472646730852e-05,
|
| 1938 |
+
"loss": 3.0445,
|
| 1939 |
+
"step": 2700
|
| 1940 |
+
},
|
| 1941 |
+
{
|
| 1942 |
+
"epoch": 0.11,
|
| 1943 |
+
"grad_norm": 5.9644598960876465,
|
| 1944 |
+
"learning_rate": 4.985300997119739e-05,
|
| 1945 |
+
"loss": 3.1588,
|
| 1946 |
+
"step": 2710
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 0.11,
|
| 1950 |
+
"grad_norm": 5.430914402008057,
|
| 1951 |
+
"learning_rate": 4.985128342372629e-05,
|
| 1952 |
+
"loss": 3.2385,
|
| 1953 |
+
"step": 2720
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 0.11,
|
| 1957 |
+
"grad_norm": 5.565753936767578,
|
| 1958 |
+
"learning_rate": 4.9849546825593476e-05,
|
| 1959 |
+
"loss": 3.2654,
|
| 1960 |
+
"step": 2730
|
| 1961 |
+
},
|
| 1962 |
+
{
|
| 1963 |
+
"epoch": 0.11,
|
| 1964 |
+
"grad_norm": 6.126991271972656,
|
| 1965 |
+
"learning_rate": 4.9847800177501305e-05,
|
| 1966 |
+
"loss": 3.3024,
|
| 1967 |
+
"step": 2740
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 0.11,
|
| 1971 |
+
"grad_norm": 5.406001567840576,
|
| 1972 |
+
"learning_rate": 4.984604348015616e-05,
|
| 1973 |
+
"loss": 3.219,
|
| 1974 |
+
"step": 2750
|
| 1975 |
+
},
|
| 1976 |
+
{
|
| 1977 |
+
"epoch": 0.11,
|
| 1978 |
+
"grad_norm": 5.55892276763916,
|
| 1979 |
+
"learning_rate": 4.984427673426851e-05,
|
| 1980 |
+
"loss": 3.3882,
|
| 1981 |
+
"step": 2760
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 0.11,
|
| 1985 |
+
"grad_norm": 5.547699451446533,
|
| 1986 |
+
"learning_rate": 4.9842499940552886e-05,
|
| 1987 |
+
"loss": 3.2334,
|
| 1988 |
+
"step": 2770
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 0.11,
|
| 1992 |
+
"grad_norm": 6.514155864715576,
|
| 1993 |
+
"learning_rate": 4.9840713099727885e-05,
|
| 1994 |
+
"loss": 3.2041,
|
| 1995 |
+
"step": 2780
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 0.11,
|
| 1999 |
+
"grad_norm": 5.4210991859436035,
|
| 2000 |
+
"learning_rate": 4.983891621251616e-05,
|
| 2001 |
+
"loss": 3.1746,
|
| 2002 |
+
"step": 2790
|
| 2003 |
+
},
|
| 2004 |
+
{
|
| 2005 |
+
"epoch": 0.11,
|
| 2006 |
+
"grad_norm": 5.854736328125,
|
| 2007 |
+
"learning_rate": 4.983710927964442e-05,
|
| 2008 |
+
"loss": 3.1961,
|
| 2009 |
+
"step": 2800
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 0.11,
|
| 2013 |
+
"grad_norm": 5.277487754821777,
|
| 2014 |
+
"learning_rate": 4.9835292301843476e-05,
|
| 2015 |
+
"loss": 2.9688,
|
| 2016 |
+
"step": 2810
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 0.11,
|
| 2020 |
+
"grad_norm": 5.925424098968506,
|
| 2021 |
+
"learning_rate": 4.983346527984813e-05,
|
| 2022 |
+
"loss": 3.2315,
|
| 2023 |
+
"step": 2820
|
| 2024 |
+
},
|
| 2025 |
+
{
|
| 2026 |
+
"epoch": 0.11,
|
| 2027 |
+
"grad_norm": 7.818734169006348,
|
| 2028 |
+
"learning_rate": 4.983162821439733e-05,
|
| 2029 |
+
"loss": 3.325,
|
| 2030 |
+
"step": 2830
|
| 2031 |
+
},
|
| 2032 |
+
{
|
| 2033 |
+
"epoch": 0.11,
|
| 2034 |
+
"grad_norm": 6.312294006347656,
|
| 2035 |
+
"learning_rate": 4.982978110623402e-05,
|
| 2036 |
+
"loss": 3.2141,
|
| 2037 |
+
"step": 2840
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 0.11,
|
| 2041 |
+
"grad_norm": 6.804452419281006,
|
| 2042 |
+
"learning_rate": 4.982792395610524e-05,
|
| 2043 |
+
"loss": 3.1214,
|
| 2044 |
+
"step": 2850
|
| 2045 |
+
},
|
| 2046 |
+
{
|
| 2047 |
+
"epoch": 0.11,
|
| 2048 |
+
"grad_norm": 6.256209850311279,
|
| 2049 |
+
"learning_rate": 4.9826056764762074e-05,
|
| 2050 |
+
"loss": 3.2357,
|
| 2051 |
+
"step": 2860
|
| 2052 |
+
},
|
| 2053 |
+
{
|
| 2054 |
+
"epoch": 0.11,
|
| 2055 |
+
"grad_norm": 5.713292121887207,
|
| 2056 |
+
"learning_rate": 4.982417953295968e-05,
|
| 2057 |
+
"loss": 3.0448,
|
| 2058 |
+
"step": 2870
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 0.11,
|
| 2062 |
+
"grad_norm": 5.762032985687256,
|
| 2063 |
+
"learning_rate": 4.982229226145727e-05,
|
| 2064 |
+
"loss": 3.1855,
|
| 2065 |
+
"step": 2880
|
| 2066 |
+
},
|
| 2067 |
+
{
|
| 2068 |
+
"epoch": 0.11,
|
| 2069 |
+
"grad_norm": 5.245543956756592,
|
| 2070 |
+
"learning_rate": 4.982039495101812e-05,
|
| 2071 |
+
"loss": 3.1024,
|
| 2072 |
+
"step": 2890
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 0.12,
|
| 2076 |
+
"grad_norm": 5.456753730773926,
|
| 2077 |
+
"learning_rate": 4.9818487602409556e-05,
|
| 2078 |
+
"loss": 3.2703,
|
| 2079 |
+
"step": 2900
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 0.12,
|
| 2083 |
+
"grad_norm": 5.831927299499512,
|
| 2084 |
+
"learning_rate": 4.981657021640298e-05,
|
| 2085 |
+
"loss": 3.2172,
|
| 2086 |
+
"step": 2910
|
| 2087 |
+
},
|
| 2088 |
+
{
|
| 2089 |
+
"epoch": 0.12,
|
| 2090 |
+
"grad_norm": 6.4401350021362305,
|
| 2091 |
+
"learning_rate": 4.981464279377384e-05,
|
| 2092 |
+
"loss": 3.2972,
|
| 2093 |
+
"step": 2920
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 0.12,
|
| 2097 |
+
"grad_norm": 5.1732892990112305,
|
| 2098 |
+
"learning_rate": 4.981270533530164e-05,
|
| 2099 |
+
"loss": 3.1305,
|
| 2100 |
+
"step": 2930
|
| 2101 |
+
},
|
| 2102 |
+
{
|
| 2103 |
+
"epoch": 0.12,
|
| 2104 |
+
"grad_norm": 5.929070472717285,
|
| 2105 |
+
"learning_rate": 4.9810757841769976e-05,
|
| 2106 |
+
"loss": 3.0932,
|
| 2107 |
+
"step": 2940
|
| 2108 |
+
},
|
| 2109 |
+
{
|
| 2110 |
+
"epoch": 0.12,
|
| 2111 |
+
"grad_norm": 5.50985860824585,
|
| 2112 |
+
"learning_rate": 4.980880031396645e-05,
|
| 2113 |
+
"loss": 3.1417,
|
| 2114 |
+
"step": 2950
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 0.12,
|
| 2118 |
+
"grad_norm": 6.071355819702148,
|
| 2119 |
+
"learning_rate": 4.980683275268277e-05,
|
| 2120 |
+
"loss": 3.1796,
|
| 2121 |
+
"step": 2960
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 0.12,
|
| 2125 |
+
"grad_norm": 5.182791709899902,
|
| 2126 |
+
"learning_rate": 4.980485515871467e-05,
|
| 2127 |
+
"loss": 3.268,
|
| 2128 |
+
"step": 2970
|
| 2129 |
+
},
|
| 2130 |
+
{
|
| 2131 |
+
"epoch": 0.12,
|
| 2132 |
+
"grad_norm": 6.4410786628723145,
|
| 2133 |
+
"learning_rate": 4.980286753286195e-05,
|
| 2134 |
+
"loss": 3.2922,
|
| 2135 |
+
"step": 2980
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 0.12,
|
| 2139 |
+
"grad_norm": 22.151193618774414,
|
| 2140 |
+
"learning_rate": 4.9800869875928475e-05,
|
| 2141 |
+
"loss": 3.0482,
|
| 2142 |
+
"step": 2990
|
| 2143 |
+
},
|
| 2144 |
+
{
|
| 2145 |
+
"epoch": 0.12,
|
| 2146 |
+
"grad_norm": 6.808634281158447,
|
| 2147 |
+
"learning_rate": 4.9798862188722164e-05,
|
| 2148 |
+
"loss": 3.1515,
|
| 2149 |
+
"step": 3000
|
| 2150 |
+
},
|
| 2151 |
+
{
|
| 2152 |
+
"epoch": 0.12,
|
| 2153 |
+
"eval_loss": 2.6660187244415283,
|
| 2154 |
+
"eval_runtime": 423.2518,
|
| 2155 |
+
"eval_samples_per_second": 50.138,
|
| 2156 |
+
"eval_steps_per_second": 0.392,
|
| 2157 |
+
"step": 3000
|
| 2158 |
+
}
|
| 2159 |
+
],
|
| 2160 |
+
"logging_steps": 10,
|
| 2161 |
+
"max_steps": 50400,
|
| 2162 |
+
"num_input_tokens_seen": 0,
|
| 2163 |
+
"num_train_epochs": 2,
|
| 2164 |
+
"save_steps": 500,
|
| 2165 |
+
"total_flos": 0.0,
|
| 2166 |
+
"train_batch_size": 8,
|
| 2167 |
+
"trial_name": null,
|
| 2168 |
+
"trial_params": null
|
| 2169 |
+
}
|
checkpoint-3000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37d08e731b46f2fc9ac1d4ac376bb688c70f2bf08a26eb4b0de280ef48858eb0
|
| 3 |
+
size 4539
|