- llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/config.json +98 -0
- llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/generation_config.json +7 -0
- llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/model-00001-of-00003.safetensors +3 -0
- llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/model-00002-of-00003.safetensors +3 -0
- llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/model-00003-of-00003.safetensors +3 -0
- llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/model.safetensors.index.json +0 -0
- llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/trainer_state.json +485 -0
- llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/training_args.bin +3 -0
llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/config.json
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlavaInterleaveForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"btadapter": true,
|
| 6 |
+
"btadapter_depth": 4,
|
| 7 |
+
"clip_post_pretrain": null,
|
| 8 |
+
"clip_weight": "/group/40043/ruyangliu/weight/CLIP-L334",
|
| 9 |
+
"frame_shape": [
|
| 10 |
+
24,
|
| 11 |
+
24
|
| 12 |
+
],
|
| 13 |
+
"hidden_size": 4096,
|
| 14 |
+
"ignore_index": -100,
|
| 15 |
+
"image_grid_pinpoints": [
|
| 16 |
+
[
|
| 17 |
+
336,
|
| 18 |
+
672
|
| 19 |
+
],
|
| 20 |
+
[
|
| 21 |
+
672,
|
| 22 |
+
336
|
| 23 |
+
],
|
| 24 |
+
[
|
| 25 |
+
672,
|
| 26 |
+
672
|
| 27 |
+
],
|
| 28 |
+
[
|
| 29 |
+
1008,
|
| 30 |
+
336
|
| 31 |
+
],
|
| 32 |
+
[
|
| 33 |
+
336,
|
| 34 |
+
1008
|
| 35 |
+
]
|
| 36 |
+
],
|
| 37 |
+
"image_pooling_kernel": [
|
| 38 |
+
1,
|
| 39 |
+
3,
|
| 40 |
+
3
|
| 41 |
+
],
|
| 42 |
+
"image_pooling_stride": [
|
| 43 |
+
1,
|
| 44 |
+
3,
|
| 45 |
+
3
|
| 46 |
+
],
|
| 47 |
+
"image_token_index": 32000,
|
| 48 |
+
"long_clip": true,
|
| 49 |
+
"max_T": 64,
|
| 50 |
+
"model_type": "llava_next",
|
| 51 |
+
"pad_token_id": 0,
|
| 52 |
+
"pllava_pooling_shape": null,
|
| 53 |
+
"pooling": "clipST_3d",
|
| 54 |
+
"pooling_kernel": [
|
| 55 |
+
2,
|
| 56 |
+
3,
|
| 57 |
+
3
|
| 58 |
+
],
|
| 59 |
+
"pooling_stride": [
|
| 60 |
+
2,
|
| 61 |
+
3,
|
| 62 |
+
3
|
| 63 |
+
],
|
| 64 |
+
"pooling_temp": 0.01,
|
| 65 |
+
"projector_hidden_act": "gelu",
|
| 66 |
+
"text_config": {
|
| 67 |
+
"_name_or_path": "lmsys/vicuna-7b-v1.5",
|
| 68 |
+
"architectures": [
|
| 69 |
+
"LlamaForCausalLM"
|
| 70 |
+
],
|
| 71 |
+
"max_position_embeddings": 4096,
|
| 72 |
+
"model_type": "llama",
|
| 73 |
+
"pad_token_id": 0,
|
| 74 |
+
"rms_norm_eps": 1e-05,
|
| 75 |
+
"torch_dtype": "float16",
|
| 76 |
+
"vocab_size": 32064
|
| 77 |
+
},
|
| 78 |
+
"torch_dtype": "bfloat16",
|
| 79 |
+
"transformers_version": "4.40.0",
|
| 80 |
+
"use_image_newline_parameter": true,
|
| 81 |
+
"video_input": "mean",
|
| 82 |
+
"vision_config": {
|
| 83 |
+
"depth": 4,
|
| 84 |
+
"hidden_size": 1024,
|
| 85 |
+
"image_size": 336,
|
| 86 |
+
"intermediate_size": 4096,
|
| 87 |
+
"max_T": 64,
|
| 88 |
+
"model_type": "clip_vision_model",
|
| 89 |
+
"num_attention_heads": 16,
|
| 90 |
+
"num_hidden_layers": 24,
|
| 91 |
+
"patch_size": 14,
|
| 92 |
+
"projection_dim": 768,
|
| 93 |
+
"vocab_size": 32000
|
| 94 |
+
},
|
| 95 |
+
"vision_feature_layer": -2,
|
| 96 |
+
"vision_feature_select_strategy": "default",
|
| 97 |
+
"vocab_size": 32064
|
| 98 |
+
}
|
llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "4.40.0"
|
| 7 |
+
}
|
llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/model-00001-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2468064fc5ed3bc395743532b2d6565ee20a678efb5a292527aa25d80a547574
|
| 3 |
+
size 4980641554
|
llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6093c7766f8f45b2f51be4ebb77ed2df5c49b410970e0620a6d5d4ff7e8b0c13
|
| 3 |
+
size 4957878536
|
llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/model-00003-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e74b0d8a25e3c65d3965fcfdaf83dd54ef2f8087c14d12f202a80af25e0ad167
|
| 3 |
+
size 4580905400
|
llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/trainer_state.json
ADDED
|
@@ -0,0 +1,485 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9998461775111521,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 3250,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.015382248884786957,
|
| 13 |
+
"grad_norm": 1.2864877128592522,
|
| 14 |
+
"learning_rate": 1.0204081632653063e-05,
|
| 15 |
+
"loss": 1.211,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.030764497769573913,
|
| 20 |
+
"grad_norm": 1.227813083166002,
|
| 21 |
+
"learning_rate": 1.999998013186146e-05,
|
| 22 |
+
"loss": 1.0177,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.046146746654360866,
|
| 27 |
+
"grad_norm": 1.16006238153043,
|
| 28 |
+
"learning_rate": 1.9986572140101312e-05,
|
| 29 |
+
"loss": 0.9909,
|
| 30 |
+
"step": 150
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.06152899553914783,
|
| 34 |
+
"grad_norm": 1.2120743368126807,
|
| 35 |
+
"learning_rate": 1.9948367447837503e-05,
|
| 36 |
+
"loss": 0.9853,
|
| 37 |
+
"step": 200
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.07691124442393478,
|
| 41 |
+
"grad_norm": 1.0434928463049529,
|
| 42 |
+
"learning_rate": 1.9885460917481137e-05,
|
| 43 |
+
"loss": 0.9766,
|
| 44 |
+
"step": 250
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.09229349330872173,
|
| 48 |
+
"grad_norm": 1.0799628915416184,
|
| 49 |
+
"learning_rate": 1.9798008746210894e-05,
|
| 50 |
+
"loss": 0.9819,
|
| 51 |
+
"step": 300
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.10767574219350869,
|
| 55 |
+
"grad_norm": 1.0390775292248948,
|
| 56 |
+
"learning_rate": 1.968622807813479e-05,
|
| 57 |
+
"loss": 0.9678,
|
| 58 |
+
"step": 350
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.12305799107829565,
|
| 62 |
+
"grad_norm": 1.3974223368156584,
|
| 63 |
+
"learning_rate": 1.955039646512041e-05,
|
| 64 |
+
"loss": 0.9782,
|
| 65 |
+
"step": 400
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.1384402399630826,
|
| 69 |
+
"grad_norm": 1.1107339192286112,
|
| 70 |
+
"learning_rate": 1.9390851177632496e-05,
|
| 71 |
+
"loss": 0.9602,
|
| 72 |
+
"step": 450
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.15382248884786956,
|
| 76 |
+
"grad_norm": 1.0579993349228267,
|
| 77 |
+
"learning_rate": 1.9207988367288956e-05,
|
| 78 |
+
"loss": 0.9571,
|
| 79 |
+
"step": 500
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.1692047377326565,
|
| 83 |
+
"grad_norm": 1.1144151233888806,
|
| 84 |
+
"learning_rate": 1.9002262083214728e-05,
|
| 85 |
+
"loss": 0.9669,
|
| 86 |
+
"step": 550
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.18458698661744347,
|
| 90 |
+
"grad_norm": 1.187591950721483,
|
| 91 |
+
"learning_rate": 1.8774183144635894e-05,
|
| 92 |
+
"loss": 0.958,
|
| 93 |
+
"step": 600
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.19996923550223042,
|
| 97 |
+
"grad_norm": 1.3767826488829,
|
| 98 |
+
"learning_rate": 1.8524317872513434e-05,
|
| 99 |
+
"loss": 0.9481,
|
| 100 |
+
"step": 650
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.21535148438701737,
|
| 104 |
+
"grad_norm": 1.0853939205331895,
|
| 105 |
+
"learning_rate": 1.8253286683365855e-05,
|
| 106 |
+
"loss": 0.9434,
|
| 107 |
+
"step": 700
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.23073373327180433,
|
| 111 |
+
"grad_norm": 1.0358359930096885,
|
| 112 |
+
"learning_rate": 1.7961762548772413e-05,
|
| 113 |
+
"loss": 0.9524,
|
| 114 |
+
"step": 750
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.2461159821565913,
|
| 118 |
+
"grad_norm": 1.0885430781645802,
|
| 119 |
+
"learning_rate": 1.7650469324381843e-05,
|
| 120 |
+
"loss": 0.9443,
|
| 121 |
+
"step": 800
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.26149823104137826,
|
| 125 |
+
"grad_norm": 1.139432989706956,
|
| 126 |
+
"learning_rate": 1.732017995257575e-05,
|
| 127 |
+
"loss": 0.9398,
|
| 128 |
+
"step": 850
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.2768804799261652,
|
| 132 |
+
"grad_norm": 1.1616765089635157,
|
| 133 |
+
"learning_rate": 1.697171454324943e-05,
|
| 134 |
+
"loss": 0.9318,
|
| 135 |
+
"step": 900
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.29226272881095217,
|
| 139 |
+
"grad_norm": 1.102418985915195,
|
| 140 |
+
"learning_rate": 1.660593833747557e-05,
|
| 141 |
+
"loss": 0.9348,
|
| 142 |
+
"step": 950
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.3076449776957391,
|
| 146 |
+
"grad_norm": 1.0377834162761999,
|
| 147 |
+
"learning_rate": 1.6223759559107028e-05,
|
| 148 |
+
"loss": 0.9206,
|
| 149 |
+
"step": 1000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.3230272265805261,
|
| 153 |
+
"grad_norm": 1.103549274843009,
|
| 154 |
+
"learning_rate": 1.5826127159653203e-05,
|
| 155 |
+
"loss": 0.9353,
|
| 156 |
+
"step": 1050
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.338409475465313,
|
| 160 |
+
"grad_norm": 1.0090406165137933,
|
| 161 |
+
"learning_rate": 1.5414028462029454e-05,
|
| 162 |
+
"loss": 0.9363,
|
| 163 |
+
"step": 1100
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.3537917243501,
|
| 167 |
+
"grad_norm": 1.1329344585144494,
|
| 168 |
+
"learning_rate": 1.4988486709030166e-05,
|
| 169 |
+
"loss": 0.9347,
|
| 170 |
+
"step": 1150
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.36917397323488693,
|
| 174 |
+
"grad_norm": 1.0307615452725163,
|
| 175 |
+
"learning_rate": 1.4550558522612584e-05,
|
| 176 |
+
"loss": 0.9231,
|
| 177 |
+
"step": 1200
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.3845562221196739,
|
| 181 |
+
"grad_norm": 1.1133951229282608,
|
| 182 |
+
"learning_rate": 1.410133128030009e-05,
|
| 183 |
+
"loss": 0.9281,
|
| 184 |
+
"step": 1250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.39993847100446084,
|
| 188 |
+
"grad_norm": 1.0490189419573543,
|
| 189 |
+
"learning_rate": 1.3641920415219224e-05,
|
| 190 |
+
"loss": 0.9229,
|
| 191 |
+
"step": 1300
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.4153207198892478,
|
| 195 |
+
"grad_norm": 1.0225887710538208,
|
| 196 |
+
"learning_rate": 1.3173466646474575e-05,
|
| 197 |
+
"loss": 0.9115,
|
| 198 |
+
"step": 1350
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.43070296877403474,
|
| 202 |
+
"grad_norm": 1.0818630597333305,
|
| 203 |
+
"learning_rate": 1.2697133146738452e-05,
|
| 204 |
+
"loss": 0.9124,
|
| 205 |
+
"step": 1400
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.4460852176588217,
|
| 209 |
+
"grad_norm": 1.1222485167556653,
|
| 210 |
+
"learning_rate": 1.2214102654088248e-05,
|
| 211 |
+
"loss": 0.9166,
|
| 212 |
+
"step": 1450
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.46146746654360865,
|
| 216 |
+
"grad_norm": 0.9980409625749838,
|
| 217 |
+
"learning_rate": 1.1725574535262863e-05,
|
| 218 |
+
"loss": 0.9047,
|
| 219 |
+
"step": 1500
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.4768497154283956,
|
| 223 |
+
"grad_norm": 1.0397039742249545,
|
| 224 |
+
"learning_rate": 1.1232761807630032e-05,
|
| 225 |
+
"loss": 0.9079,
|
| 226 |
+
"step": 1550
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.4922319643131826,
|
| 230 |
+
"grad_norm": 1.0715968646982938,
|
| 231 |
+
"learning_rate": 1.0736888127259132e-05,
|
| 232 |
+
"loss": 0.9061,
|
| 233 |
+
"step": 1600
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.5076142131979695,
|
| 237 |
+
"grad_norm": 1.0724763367894545,
|
| 238 |
+
"learning_rate": 1.023918475057803e-05,
|
| 239 |
+
"loss": 0.8947,
|
| 240 |
+
"step": 1650
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.5229964620827565,
|
| 244 |
+
"grad_norm": 1.03882946183293,
|
| 245 |
+
"learning_rate": 9.740887477158194e-06,
|
| 246 |
+
"loss": 0.9053,
|
| 247 |
+
"step": 1700
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.5383787109675434,
|
| 251 |
+
"grad_norm": 1.0204487030578802,
|
| 252 |
+
"learning_rate": 9.24323358121919e-06,
|
| 253 |
+
"loss": 0.9016,
|
| 254 |
+
"step": 1750
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.5537609598523304,
|
| 258 |
+
"grad_norm": 1.0085542891249055,
|
| 259 |
+
"learning_rate": 8.747458739471603e-06,
|
| 260 |
+
"loss": 0.8988,
|
| 261 |
+
"step": 1800
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.5691432087371173,
|
| 265 |
+
"grad_norm": 1.1293770623412562,
|
| 266 |
+
"learning_rate": 8.254793962926579e-06,
|
| 267 |
+
"loss": 0.8967,
|
| 268 |
+
"step": 1850
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.5845254576219043,
|
| 272 |
+
"grad_norm": 1.1860769177336596,
|
| 273 |
+
"learning_rate": 7.76646254029032e-06,
|
| 274 |
+
"loss": 0.8967,
|
| 275 |
+
"step": 1900
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.5999077065066912,
|
| 279 |
+
"grad_norm": 1.062132771926321,
|
| 280 |
+
"learning_rate": 7.283677000533106e-06,
|
| 281 |
+
"loss": 0.8936,
|
| 282 |
+
"step": 1950
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.6152899553914782,
|
| 286 |
+
"grad_norm": 1.1679358844534626,
|
| 287 |
+
"learning_rate": 6.807636102174764e-06,
|
| 288 |
+
"loss": 0.8928,
|
| 289 |
+
"step": 2000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.6306722042762651,
|
| 293 |
+
"grad_norm": 1.0610336394985995,
|
| 294 |
+
"learning_rate": 6.339521856762254e-06,
|
| 295 |
+
"loss": 0.8845,
|
| 296 |
+
"step": 2050
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.6460544531610521,
|
| 300 |
+
"grad_norm": 1.084745782348564,
|
| 301 |
+
"learning_rate": 5.880496593930021e-06,
|
| 302 |
+
"loss": 0.8869,
|
| 303 |
+
"step": 2100
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.6614367020458392,
|
| 307 |
+
"grad_norm": 0.9948936563241075,
|
| 308 |
+
"learning_rate": 5.431700075330654e-06,
|
| 309 |
+
"loss": 0.8817,
|
| 310 |
+
"step": 2150
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.676818950930626,
|
| 314 |
+
"grad_norm": 1.0955833872820746,
|
| 315 |
+
"learning_rate": 4.9942466646019e-06,
|
| 316 |
+
"loss": 0.8857,
|
| 317 |
+
"step": 2200
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.6922011998154131,
|
| 321 |
+
"grad_norm": 1.0328397346172227,
|
| 322 |
+
"learning_rate": 4.569222560397126e-06,
|
| 323 |
+
"loss": 0.8842,
|
| 324 |
+
"step": 2250
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.7075834487002,
|
| 328 |
+
"grad_norm": 1.0439140807601641,
|
| 329 |
+
"learning_rate": 4.157683099349444e-06,
|
| 330 |
+
"loss": 0.8797,
|
| 331 |
+
"step": 2300
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.722965697584987,
|
| 335 |
+
"grad_norm": 1.0659188075287298,
|
| 336 |
+
"learning_rate": 3.760650135666476e-06,
|
| 337 |
+
"loss": 0.8765,
|
| 338 |
+
"step": 2350
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.7383479464697739,
|
| 342 |
+
"grad_norm": 1.0691950735737183,
|
| 343 |
+
"learning_rate": 3.3791095038620515e-06,
|
| 344 |
+
"loss": 0.8715,
|
| 345 |
+
"step": 2400
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.7537301953545609,
|
| 349 |
+
"grad_norm": 1.0882575411106976,
|
| 350 |
+
"learning_rate": 3.0140085709249666e-06,
|
| 351 |
+
"loss": 0.8754,
|
| 352 |
+
"step": 2450
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.7691124442393478,
|
| 356 |
+
"grad_norm": 1.1112353348166593,
|
| 357 |
+
"learning_rate": 2.6662538840027984e-06,
|
| 358 |
+
"loss": 0.873,
|
| 359 |
+
"step": 2500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.7844946931241348,
|
| 363 |
+
"grad_norm": 1.1312531360561675,
|
| 364 |
+
"learning_rate": 2.3367089194415226e-06,
|
| 365 |
+
"loss": 0.8776,
|
| 366 |
+
"step": 2550
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.7998769420089217,
|
| 370 |
+
"grad_norm": 1.118822941453432,
|
| 371 |
+
"learning_rate": 2.026191938770128e-06,
|
| 372 |
+
"loss": 0.8769,
|
| 373 |
+
"step": 2600
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.8152591908937087,
|
| 377 |
+
"grad_norm": 1.0617562102838363,
|
| 378 |
+
"learning_rate": 1.7354739569538081e-06,
|
| 379 |
+
"loss": 0.8611,
|
| 380 |
+
"step": 2650
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.8306414397784956,
|
| 384 |
+
"grad_norm": 1.1190891753348724,
|
| 385 |
+
"learning_rate": 1.4652768279605734e-06,
|
| 386 |
+
"loss": 0.8778,
|
| 387 |
+
"step": 2700
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.8460236886632826,
|
| 391 |
+
"grad_norm": 1.1025665252752193,
|
| 392 |
+
"learning_rate": 1.2162714523948104e-06,
|
| 393 |
+
"loss": 0.8582,
|
| 394 |
+
"step": 2750
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.8614059375480695,
|
| 398 |
+
"grad_norm": 1.0621744666965152,
|
| 399 |
+
"learning_rate": 9.89076111648284e-07,
|
| 400 |
+
"loss": 0.8643,
|
| 401 |
+
"step": 2800
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.8767881864328565,
|
| 405 |
+
"grad_norm": 0.9763313630276178,
|
| 406 |
+
"learning_rate": 7.842549327048366e-07,
|
| 407 |
+
"loss": 0.8667,
|
| 408 |
+
"step": 2850
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.8921704353176434,
|
| 412 |
+
"grad_norm": 1.0393762329975094,
|
| 413 |
+
"learning_rate": 6.023164874107202e-07,
|
| 414 |
+
"loss": 0.8677,
|
| 415 |
+
"step": 2900
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.9075526842024304,
|
| 419 |
+
"grad_norm": 1.1026189621389317,
|
| 420 |
+
"learning_rate": 4.437125296885847e-07,
|
| 421 |
+
"loss": 0.8649,
|
| 422 |
+
"step": 2950
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.9229349330872173,
|
| 426 |
+
"grad_norm": 1.073850367410434,
|
| 427 |
+
"learning_rate": 3.088368738305747e-07,
|
| 428 |
+
"loss": 0.8771,
|
| 429 |
+
"step": 3000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.9383171819720043,
|
| 433 |
+
"grad_norm": 1.0327578416174346,
|
| 434 |
+
"learning_rate": 1.9802441665580208e-07,
|
| 435 |
+
"loss": 0.8678,
|
| 436 |
+
"step": 3050
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.9536994308567912,
|
| 440 |
+
"grad_norm": 1.035131432577654,
|
| 441 |
+
"learning_rate": 1.1155030596013638e-07,
|
| 442 |
+
"loss": 0.8662,
|
| 443 |
+
"step": 3100
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.9690816797415782,
|
| 447 |
+
"grad_norm": 1.0361099744000193,
|
| 448 |
+
"learning_rate": 4.962925732307278e-08,
|
| 449 |
+
"loss": 0.8588,
|
| 450 |
+
"step": 3150
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.9844639286263652,
|
| 454 |
+
"grad_norm": 1.087919608094763,
|
| 455 |
+
"learning_rate": 1.2415020968049585e-08,
|
| 456 |
+
"loss": 0.8733,
|
| 457 |
+
"step": 3200
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.9998461775111521,
|
| 461 |
+
"grad_norm": 1.0473814351391442,
|
| 462 |
+
"learning_rate": 0.0,
|
| 463 |
+
"loss": 0.8751,
|
| 464 |
+
"step": 3250
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.9998461775111521,
|
| 468 |
+
"step": 3250,
|
| 469 |
+
"total_flos": 1.7053270040117248e+16,
|
| 470 |
+
"train_loss": 0.9156783118614784,
|
| 471 |
+
"train_runtime": 46310.2792,
|
| 472 |
+
"train_samples_per_second": 0.562,
|
| 473 |
+
"train_steps_per_second": 0.07
|
| 474 |
+
}
|
| 475 |
+
],
|
| 476 |
+
"logging_steps": 50,
|
| 477 |
+
"max_steps": 3250,
|
| 478 |
+
"num_input_tokens_seen": 0,
|
| 479 |
+
"num_train_epochs": 1,
|
| 480 |
+
"save_steps": 500,
|
| 481 |
+
"total_flos": 1.7053270040117248e+16,
|
| 482 |
+
"train_batch_size": 4,
|
| 483 |
+
"trial_name": null,
|
| 484 |
+
"trial_params": null
|
| 485 |
+
}
|
llavav16bta_cp3d1688_longb_qafull_llhound_fullimg_trainllm_e1_bz256_32f1688/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3db21088a03dab3e9042367b9f7e3bb67dfc608a5563e28fb3fb76fa7ab52d6c
|
| 3 |
+
size 7032
|