Model save
Browse files- README.md +1 -1
- all_results.json +8 -0
- runs/Jul19_11-52-50_c85a676f2b00/events.out.tfevents.1721390865.c85a676f2b00.34.6 +2 -2
- test_results.json +8 -0
- trainer_state.json +230 -0
README.md
CHANGED
|
@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 21 |
|
| 22 |
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
-
- Loss: 0.
|
| 25 |
- Accuracy: 0.9097
|
| 26 |
|
| 27 |
## Model description
|
|
|
|
| 21 |
|
| 22 |
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
+
- Loss: 0.2617
|
| 25 |
- Accuracy: 0.9097
|
| 26 |
|
| 27 |
## Model description
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 7.101351351351352,
|
| 3 |
+
"eval_accuracy": 0.9096774193548387,
|
| 4 |
+
"eval_loss": 0.26174646615982056,
|
| 5 |
+
"eval_runtime": 27.2537,
|
| 6 |
+
"eval_samples_per_second": 5.687,
|
| 7 |
+
"eval_steps_per_second": 0.367
|
| 8 |
+
}
|
runs/Jul19_11-52-50_c85a676f2b00/events.out.tfevents.1721390865.c85a676f2b00.34.6
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5115b6c3271b0d797e06b0c6df40180d095b91da0fa5e9c877973b2fbded9b87
|
| 3 |
+
size 734
|
test_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 7.101351351351352,
|
| 3 |
+
"eval_accuracy": 0.9096774193548387,
|
| 4 |
+
"eval_loss": 0.26174646615982056,
|
| 5 |
+
"eval_runtime": 27.2537,
|
| 6 |
+
"eval_samples_per_second": 5.687,
|
| 7 |
+
"eval_steps_per_second": 0.367
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,230 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9571428571428572,
|
| 3 |
+
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-133",
|
| 4 |
+
"epoch": 7.101351351351352,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 148,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.06756756756756757,
|
| 13 |
+
"grad_norm": 6.901234149932861,
|
| 14 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 15 |
+
"loss": 2.0115,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.12837837837837837,
|
| 20 |
+
"eval_accuracy": 0.5428571428571428,
|
| 21 |
+
"eval_loss": 1.546947956085205,
|
| 22 |
+
"eval_runtime": 10.0454,
|
| 23 |
+
"eval_samples_per_second": 6.968,
|
| 24 |
+
"eval_steps_per_second": 0.498,
|
| 25 |
+
"step": 19
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 1.0067567567567568,
|
| 29 |
+
"grad_norm": 7.984360218048096,
|
| 30 |
+
"learning_rate": 4.81203007518797e-05,
|
| 31 |
+
"loss": 1.6913,
|
| 32 |
+
"step": 20
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.0743243243243243,
|
| 36 |
+
"grad_norm": 6.522056579589844,
|
| 37 |
+
"learning_rate": 4.43609022556391e-05,
|
| 38 |
+
"loss": 1.2145,
|
| 39 |
+
"step": 30
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.1283783783783783,
|
| 43 |
+
"eval_accuracy": 0.7,
|
| 44 |
+
"eval_loss": 0.9201391935348511,
|
| 45 |
+
"eval_runtime": 10.5435,
|
| 46 |
+
"eval_samples_per_second": 6.639,
|
| 47 |
+
"eval_steps_per_second": 0.474,
|
| 48 |
+
"step": 38
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 2.0135135135135136,
|
| 52 |
+
"grad_norm": 6.391108989715576,
|
| 53 |
+
"learning_rate": 4.0601503759398494e-05,
|
| 54 |
+
"loss": 0.8009,
|
| 55 |
+
"step": 40
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 2.081081081081081,
|
| 59 |
+
"grad_norm": 8.276566505432129,
|
| 60 |
+
"learning_rate": 3.6842105263157895e-05,
|
| 61 |
+
"loss": 0.6166,
|
| 62 |
+
"step": 50
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.1283783783783785,
|
| 66 |
+
"eval_accuracy": 0.8285714285714286,
|
| 67 |
+
"eval_loss": 0.5547969341278076,
|
| 68 |
+
"eval_runtime": 11.9084,
|
| 69 |
+
"eval_samples_per_second": 5.878,
|
| 70 |
+
"eval_steps_per_second": 0.42,
|
| 71 |
+
"step": 57
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 3.02027027027027,
|
| 75 |
+
"grad_norm": 21.176633834838867,
|
| 76 |
+
"learning_rate": 3.3082706766917295e-05,
|
| 77 |
+
"loss": 0.4484,
|
| 78 |
+
"step": 60
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 3.0878378378378377,
|
| 82 |
+
"grad_norm": 3.571500062942505,
|
| 83 |
+
"learning_rate": 2.9323308270676693e-05,
|
| 84 |
+
"loss": 0.3255,
|
| 85 |
+
"step": 70
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 3.1283783783783785,
|
| 89 |
+
"eval_accuracy": 0.9,
|
| 90 |
+
"eval_loss": 0.35559970140457153,
|
| 91 |
+
"eval_runtime": 11.9471,
|
| 92 |
+
"eval_samples_per_second": 5.859,
|
| 93 |
+
"eval_steps_per_second": 0.419,
|
| 94 |
+
"step": 76
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 4.027027027027027,
|
| 98 |
+
"grad_norm": 3.0831594467163086,
|
| 99 |
+
"learning_rate": 2.556390977443609e-05,
|
| 100 |
+
"loss": 0.2372,
|
| 101 |
+
"step": 80
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 4.094594594594595,
|
| 105 |
+
"grad_norm": 1.0621541738510132,
|
| 106 |
+
"learning_rate": 2.1804511278195487e-05,
|
| 107 |
+
"loss": 0.1945,
|
| 108 |
+
"step": 90
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 4.128378378378378,
|
| 112 |
+
"eval_accuracy": 0.8857142857142857,
|
| 113 |
+
"eval_loss": 0.2917786240577698,
|
| 114 |
+
"eval_runtime": 11.1985,
|
| 115 |
+
"eval_samples_per_second": 6.251,
|
| 116 |
+
"eval_steps_per_second": 0.446,
|
| 117 |
+
"step": 95
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 5.033783783783784,
|
| 121 |
+
"grad_norm": 7.335643291473389,
|
| 122 |
+
"learning_rate": 1.8045112781954888e-05,
|
| 123 |
+
"loss": 0.1863,
|
| 124 |
+
"step": 100
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 5.101351351351352,
|
| 128 |
+
"grad_norm": 3.736997604370117,
|
| 129 |
+
"learning_rate": 1.4285714285714285e-05,
|
| 130 |
+
"loss": 0.098,
|
| 131 |
+
"step": 110
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 5.128378378378378,
|
| 135 |
+
"eval_accuracy": 0.8714285714285714,
|
| 136 |
+
"eval_loss": 0.38738560676574707,
|
| 137 |
+
"eval_runtime": 11.6146,
|
| 138 |
+
"eval_samples_per_second": 6.027,
|
| 139 |
+
"eval_steps_per_second": 0.43,
|
| 140 |
+
"step": 114
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 6.04054054054054,
|
| 144 |
+
"grad_norm": 4.334865570068359,
|
| 145 |
+
"learning_rate": 1.0526315789473684e-05,
|
| 146 |
+
"loss": 0.0613,
|
| 147 |
+
"step": 120
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 6.108108108108108,
|
| 151 |
+
"grad_norm": 6.393611907958984,
|
| 152 |
+
"learning_rate": 6.766917293233083e-06,
|
| 153 |
+
"loss": 0.0571,
|
| 154 |
+
"step": 130
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 6.128378378378378,
|
| 158 |
+
"eval_accuracy": 0.9571428571428572,
|
| 159 |
+
"eval_loss": 0.1539522409439087,
|
| 160 |
+
"eval_runtime": 11.8139,
|
| 161 |
+
"eval_samples_per_second": 5.925,
|
| 162 |
+
"eval_steps_per_second": 0.423,
|
| 163 |
+
"step": 133
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 7.047297297297297,
|
| 167 |
+
"grad_norm": 0.5439800024032593,
|
| 168 |
+
"learning_rate": 3.007518796992481e-06,
|
| 169 |
+
"loss": 0.0387,
|
| 170 |
+
"step": 140
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 7.101351351351352,
|
| 174 |
+
"eval_accuracy": 0.8571428571428571,
|
| 175 |
+
"eval_loss": 0.25466597080230713,
|
| 176 |
+
"eval_runtime": 12.6936,
|
| 177 |
+
"eval_samples_per_second": 5.515,
|
| 178 |
+
"eval_steps_per_second": 0.394,
|
| 179 |
+
"step": 148
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 7.101351351351352,
|
| 183 |
+
"step": 148,
|
| 184 |
+
"total_flos": 2.915999166844109e+18,
|
| 185 |
+
"train_loss": 0.5411020509294562,
|
| 186 |
+
"train_runtime": 849.4097,
|
| 187 |
+
"train_samples_per_second": 2.788,
|
| 188 |
+
"train_steps_per_second": 0.174
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 7.101351351351352,
|
| 192 |
+
"eval_accuracy": 0.9096774193548387,
|
| 193 |
+
"eval_loss": 0.25891318917274475,
|
| 194 |
+
"eval_runtime": 26.949,
|
| 195 |
+
"eval_samples_per_second": 5.752,
|
| 196 |
+
"eval_steps_per_second": 0.371,
|
| 197 |
+
"step": 148
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 7.101351351351352,
|
| 201 |
+
"eval_accuracy": 0.9096774193548387,
|
| 202 |
+
"eval_loss": 0.26174646615982056,
|
| 203 |
+
"eval_runtime": 27.2537,
|
| 204 |
+
"eval_samples_per_second": 5.687,
|
| 205 |
+
"eval_steps_per_second": 0.367,
|
| 206 |
+
"step": 148
|
| 207 |
+
}
|
| 208 |
+
],
|
| 209 |
+
"logging_steps": 10,
|
| 210 |
+
"max_steps": 148,
|
| 211 |
+
"num_input_tokens_seen": 0,
|
| 212 |
+
"num_train_epochs": 9223372036854775807,
|
| 213 |
+
"save_steps": 500,
|
| 214 |
+
"stateful_callbacks": {
|
| 215 |
+
"TrainerControl": {
|
| 216 |
+
"args": {
|
| 217 |
+
"should_epoch_stop": false,
|
| 218 |
+
"should_evaluate": false,
|
| 219 |
+
"should_log": false,
|
| 220 |
+
"should_save": true,
|
| 221 |
+
"should_training_stop": true
|
| 222 |
+
},
|
| 223 |
+
"attributes": {}
|
| 224 |
+
}
|
| 225 |
+
},
|
| 226 |
+
"total_flos": 2.915999166844109e+18,
|
| 227 |
+
"train_batch_size": 16,
|
| 228 |
+
"trial_name": null,
|
| 229 |
+
"trial_params": null
|
| 230 |
+
}
|