add MT model
Browse files- all_results.json +15 -0
- config.json +29 -0
- generated_predictions.txt +0 -0
- predict_results.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +61 -0
- training_args.bin +3 -0
all_results.json
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{
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"epoch": 10.0,
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"predict_bleu": 4.5682,
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"predict_gen_len": 93.11,
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"predict_loss": 2.0824384689331055,
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"predict_runtime": 1749.4034,
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"predict_samples": 1500,
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"predict_samples_per_second": 0.857,
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"predict_steps_per_second": 0.086,
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"train_loss": 2.523036331668977,
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"train_runtime": 1275.6742,
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"train_samples": 3098,
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"train_samples_per_second": 24.285,
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"train_steps_per_second": 2.43
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}
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config.json
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{
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"_name_or_path": "afriT5_1",
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"architectures": [
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"MT5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "mt5",
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"tokenizer_class": "T5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.10.3",
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"use_cache": true,
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"vocab_size": 250100
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}
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generated_predictions.txt
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predict_results.json
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{
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"predict_bleu": 4.5682,
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"predict_gen_len": 93.11,
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"predict_loss": 2.0824384689331055,
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"predict_runtime": 1749.4034,
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"predict_samples": 1500,
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"predict_samples_per_second": 0.857,
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"predict_steps_per_second": 0.086
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:efb32cbfd86bb938e891f53387ed2ec41c4a0c937a66fd2a5722ea3190c2fcfd
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size 2329626573
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special_tokens_map.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
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size 4309802
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tokenizer.json
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tokenizer_config.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "name_or_path": "afriT5_1", "sp_model_kwargs": {}, "tokenizer_class": "T5Tokenizer"}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 2.523036331668977,
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"train_runtime": 1275.6742,
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"train_samples": 3098,
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"train_samples_per_second": 24.285,
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"train_steps_per_second": 2.43
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 10.0,
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"global_step": 3100,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.61,
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"learning_rate": 4.1935483870967746e-05,
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"loss": 3.3074,
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"step": 500
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{
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"epoch": 3.23,
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"learning_rate": 3.387096774193548e-05,
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"loss": 2.6285,
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"step": 1000
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},
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{
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"epoch": 4.84,
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"learning_rate": 2.5806451612903226e-05,
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"loss": 2.4469,
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"step": 1500
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},
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{
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"epoch": 6.45,
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"learning_rate": 1.774193548387097e-05,
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"loss": 2.331,
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"step": 2000
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},
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{
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"epoch": 8.06,
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"learning_rate": 9.67741935483871e-06,
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"loss": 2.2623,
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"step": 2500
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},
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{
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"epoch": 9.68,
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"learning_rate": 1.6129032258064516e-06,
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"loss": 2.2221,
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"step": 3000
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},
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{
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"epoch": 10.0,
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"step": 3100,
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"total_flos": 1.680066579806208e+16,
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"train_loss": 2.523036331668977,
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"train_runtime": 1275.6742,
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"train_samples_per_second": 24.285,
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"train_steps_per_second": 2.43
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}
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],
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"max_steps": 3100,
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"num_train_epochs": 10,
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"total_flos": 1.680066579806208e+16,
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"trial_name": null,
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"trial_params": null
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}
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:46e345f4c15f1b6fd81b6bbb4a60ae59caa5299bcbf85615961502ff98a4ea22
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size 2799
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