End of training
Browse files- README.md +114 -0
- all_results.json +9 -0
- config.json +230 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- test_results.json +9 -0
- trainer_state.json +1177 -0
- training_args.bin +3 -0
README.md
ADDED
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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| 3 |
+
license: cc-by-nc-4.0
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| 4 |
+
base_model: facebook/timesformer-base-finetuned-k400
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| 5 |
+
tags:
|
| 6 |
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- generated_from_trainer
|
| 7 |
+
metrics:
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| 8 |
+
- accuracy
|
| 9 |
+
- precision
|
| 10 |
+
- recall
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| 11 |
+
- f1
|
| 12 |
+
model-index:
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| 13 |
+
- name: Timesformer_WLASL_100_200_epochs_p20_SR_16
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| 14 |
+
results: []
|
| 15 |
+
---
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| 16 |
+
|
| 17 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 18 |
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should probably proofread and complete it, then remove this comment. -->
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| 19 |
+
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| 20 |
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# Timesformer_WLASL_100_200_epochs_p20_SR_16
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| 21 |
+
|
| 22 |
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This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
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| 23 |
+
It achieves the following results on the evaluation set:
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| 24 |
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- Loss: 2.2599
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| 25 |
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- Top 1 Accuracy: 0.5828
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| 26 |
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- Top 5 Accuracy: 0.7899
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| 27 |
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- Top 10 Accuracy: 0.8698
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| 28 |
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- Accuracy: 0.5828
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| 29 |
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- Precision: 0.5806
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| 30 |
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- Recall: 0.5828
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| 31 |
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- F1: 0.5510
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| 32 |
+
|
| 33 |
+
## Model description
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| 34 |
+
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| 35 |
+
More information needed
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| 36 |
+
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| 37 |
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## Intended uses & limitations
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| 38 |
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|
| 39 |
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More information needed
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| 40 |
+
|
| 41 |
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## Training and evaluation data
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| 42 |
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|
| 43 |
+
More information needed
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| 44 |
+
|
| 45 |
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## Training procedure
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| 46 |
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|
| 47 |
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### Training hyperparameters
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| 48 |
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| 49 |
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The following hyperparameters were used during training:
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| 50 |
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- learning_rate: 5e-05
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| 51 |
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- train_batch_size: 2
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| 52 |
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- eval_batch_size: 2
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| 53 |
+
- seed: 42
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| 54 |
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- gradient_accumulation_steps: 4
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| 55 |
+
- total_train_batch_size: 8
|
| 56 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 57 |
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- lr_scheduler_type: linear
|
| 58 |
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- lr_scheduler_warmup_ratio: 0.1
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| 59 |
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- training_steps: 36000
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| 60 |
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- mixed_precision_training: Native AMP
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| 61 |
+
|
| 62 |
+
### Training results
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| 63 |
+
|
| 64 |
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| Training Loss | Epoch | Step | Validation Loss | Top 1 Accuracy | Top 5 Accuracy | Top 10 Accuracy | Accuracy | Precision | Recall | F1 |
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| 65 |
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|:-------------:|:-------:|:----:|:---------------:|:--------------:|:--------------:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 66 |
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| 19.1155 | 0.005 | 180 | 4.6927 | 0.0089 | 0.0414 | 0.0888 | 0.0089 | 0.0155 | 0.0089 | 0.0105 |
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| 67 |
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| 18.5538 | 1.0050 | 360 | 4.5821 | 0.0266 | 0.0769 | 0.1302 | 0.0266 | 0.0137 | 0.0266 | 0.0116 |
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| 68 |
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| 17.5848 | 2.0050 | 540 | 4.3988 | 0.0562 | 0.1450 | 0.2633 | 0.0562 | 0.0486 | 0.0562 | 0.0390 |
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| 69 |
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| 15.8283 | 3.0050 | 721 | 4.0516 | 0.1302 | 0.2959 | 0.4645 | 0.1302 | 0.1012 | 0.1302 | 0.0976 |
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| 70 |
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| 13.3102 | 4.005 | 901 | 3.6150 | 0.2249 | 0.4704 | 0.6154 | 0.2249 | 0.1781 | 0.2249 | 0.1741 |
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| 71 |
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| 11.2113 | 5.0050 | 1081 | 3.2389 | 0.2604 | 0.6065 | 0.7367 | 0.2604 | 0.2422 | 0.2604 | 0.2215 |
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| 72 |
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| 8.898 | 6.0050 | 1261 | 2.8714 | 0.3757 | 0.6775 | 0.8166 | 0.3757 | 0.3584 | 0.3757 | 0.3324 |
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| 73 |
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| 6.715 | 7.0050 | 1442 | 2.6518 | 0.4231 | 0.7249 | 0.8402 | 0.4231 | 0.3828 | 0.4231 | 0.3730 |
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| 74 |
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| 4.8442 | 8.005 | 1622 | 2.3294 | 0.4645 | 0.7929 | 0.8876 | 0.4645 | 0.5077 | 0.4645 | 0.4377 |
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| 75 |
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| 3.3825 | 9.0050 | 1802 | 2.1747 | 0.4911 | 0.7899 | 0.8964 | 0.4911 | 0.5436 | 0.4911 | 0.4654 |
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| 76 |
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| 2.0471 | 10.0050 | 1982 | 1.9990 | 0.5148 | 0.8107 | 0.9053 | 0.5178 | 0.5871 | 0.5178 | 0.5057 |
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| 77 |
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| 1.3242 | 11.0050 | 2163 | 1.8964 | 0.5473 | 0.8166 | 0.8935 | 0.5473 | 0.5822 | 0.5473 | 0.5199 |
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| 78 |
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| 0.8746 | 12.005 | 2343 | 1.8222 | 0.5562 | 0.8254 | 0.9083 | 0.5562 | 0.5796 | 0.5562 | 0.5320 |
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| 79 |
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| 0.5537 | 13.0050 | 2523 | 1.7525 | 0.5769 | 0.8343 | 0.9142 | 0.5769 | 0.5813 | 0.5769 | 0.5468 |
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| 80 |
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| 0.4081 | 14.0050 | 2703 | 1.7351 | 0.5947 | 0.8136 | 0.8964 | 0.5947 | 0.6684 | 0.5947 | 0.5834 |
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| 81 |
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| 0.17 | 15.0050 | 2884 | 1.6998 | 0.5592 | 0.8225 | 0.9083 | 0.5592 | 0.5763 | 0.5592 | 0.5342 |
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| 82 |
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| 0.2053 | 16.005 | 3064 | 1.7340 | 0.5651 | 0.8343 | 0.9083 | 0.5651 | 0.6215 | 0.5651 | 0.5390 |
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| 83 |
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| 0.1434 | 17.0050 | 3244 | 1.7350 | 0.6006 | 0.8432 | 0.9142 | 0.6006 | 0.6347 | 0.6006 | 0.5806 |
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| 84 |
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| 0.1957 | 18.0050 | 3424 | 1.8179 | 0.5621 | 0.8373 | 0.9142 | 0.5621 | 0.6060 | 0.5621 | 0.5350 |
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| 85 |
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| 0.1636 | 19.0050 | 3605 | 1.7831 | 0.6154 | 0.8225 | 0.8905 | 0.6154 | 0.6401 | 0.6154 | 0.5917 |
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| 86 |
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| 0.0908 | 20.005 | 3785 | 1.7552 | 0.6213 | 0.8402 | 0.9053 | 0.6213 | 0.6504 | 0.6213 | 0.6014 |
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| 87 |
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| 0.058 | 21.0050 | 3965 | 1.8422 | 0.6243 | 0.8254 | 0.9112 | 0.6213 | 0.6392 | 0.6213 | 0.5962 |
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| 88 |
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| 0.0924 | 22.0050 | 4145 | 1.8347 | 0.6006 | 0.8225 | 0.9201 | 0.6006 | 0.6218 | 0.6006 | 0.5735 |
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| 89 |
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| 0.0799 | 23.0050 | 4326 | 1.9650 | 0.6036 | 0.8107 | 0.8846 | 0.6036 | 0.6182 | 0.6036 | 0.5724 |
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| 90 |
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| 0.176 | 24.005 | 4506 | 1.9326 | 0.5858 | 0.8402 | 0.9142 | 0.5858 | 0.6240 | 0.5858 | 0.5671 |
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| 91 |
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| 0.0786 | 25.0050 | 4686 | 1.7753 | 0.6124 | 0.8491 | 0.9142 | 0.6124 | 0.6607 | 0.6124 | 0.5998 |
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| 92 |
+
| 0.242 | 26.0050 | 4866 | 2.0219 | 0.5769 | 0.7722 | 0.8876 | 0.5769 | 0.6337 | 0.5769 | 0.5552 |
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| 93 |
+
| 0.1767 | 27.0050 | 5047 | 1.9744 | 0.5828 | 0.8166 | 0.9024 | 0.5828 | 0.6330 | 0.5828 | 0.5721 |
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| 94 |
+
| 0.14 | 28.005 | 5227 | 2.1996 | 0.5769 | 0.7811 | 0.8609 | 0.5769 | 0.5983 | 0.5769 | 0.5430 |
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| 95 |
+
| 0.104 | 29.0050 | 5407 | 2.0881 | 0.5769 | 0.8166 | 0.8876 | 0.5769 | 0.6146 | 0.5769 | 0.5641 |
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| 96 |
+
| 0.1454 | 30.0050 | 5587 | 2.3394 | 0.5621 | 0.7959 | 0.8905 | 0.5621 | 0.6280 | 0.5621 | 0.5448 |
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| 97 |
+
| 0.2221 | 31.0050 | 5768 | 1.9360 | 0.5947 | 0.8225 | 0.9024 | 0.5947 | 0.6606 | 0.5947 | 0.5881 |
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| 98 |
+
| 0.1026 | 32.005 | 5948 | 2.0920 | 0.6036 | 0.8107 | 0.8935 | 0.6036 | 0.6376 | 0.6036 | 0.5832 |
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| 99 |
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| 0.0968 | 33.0050 | 6128 | 2.2746 | 0.5740 | 0.8047 | 0.8846 | 0.5740 | 0.6308 | 0.5740 | 0.5542 |
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| 100 |
+
| 0.1864 | 34.0050 | 6308 | 2.2081 | 0.5888 | 0.8047 | 0.8698 | 0.5888 | 0.6394 | 0.5888 | 0.5704 |
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| 101 |
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| 0.1353 | 35.0050 | 6489 | 2.1853 | 0.5799 | 0.8254 | 0.8935 | 0.5799 | 0.6133 | 0.5799 | 0.5636 |
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| 102 |
+
| 0.1618 | 36.005 | 6669 | 2.2661 | 0.5710 | 0.7959 | 0.8698 | 0.5710 | 0.6243 | 0.5710 | 0.5515 |
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| 103 |
+
| 0.259 | 37.0050 | 6849 | 2.3163 | 0.5740 | 0.7870 | 0.8580 | 0.5740 | 0.6088 | 0.5740 | 0.5459 |
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| 104 |
+
| 0.3394 | 38.0050 | 7029 | 2.0984 | 0.5769 | 0.7988 | 0.8905 | 0.5769 | 0.6154 | 0.5769 | 0.5614 |
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| 105 |
+
| 0.0833 | 39.0050 | 7210 | 2.2811 | 0.5533 | 0.8047 | 0.8698 | 0.5533 | 0.6051 | 0.5533 | 0.5328 |
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| 106 |
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| 0.1259 | 40.005 | 7390 | 2.2599 | 0.5828 | 0.7899 | 0.8698 | 0.5828 | 0.5806 | 0.5828 | 0.5510 |
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| 107 |
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| 108 |
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### Framework versions
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| 110 |
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| 111 |
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- Transformers 4.46.1
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| 112 |
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- Pytorch 2.5.1+cu124
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| 113 |
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- Datasets 3.1.0
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| 114 |
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- Tokenizers 0.20.1
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all_results.json
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| 1 |
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{
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| 2 |
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"accuracy": 0.5697674418604651,
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| 3 |
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"f1": 0.5384705303309955,
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| 4 |
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"precision": 0.5654485049833887,
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| 5 |
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"recall": 0.5697674418604651,
|
| 6 |
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"top_10_accuracy": 0.9031007751937985,
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| 7 |
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"top_1_accuracy": 0.5697674418604651,
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| 8 |
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"top_5_accuracy": 0.8449612403100775
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}
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config.json
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/timesformer-base-finetuned-k400",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"TimesformerForVideoClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"attention_type": "divided_space_time",
|
| 8 |
+
"drop_path_rate": 0,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.0,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "accident",
|
| 14 |
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"1": "africa",
|
| 15 |
+
"2": "all",
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| 16 |
+
"3": "apple",
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| 17 |
+
"4": "basketball",
|
| 18 |
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"5": "bed",
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| 19 |
+
"6": "before",
|
| 20 |
+
"7": "bird",
|
| 21 |
+
"8": "birthday",
|
| 22 |
+
"9": "black",
|
| 23 |
+
"10": "blue",
|
| 24 |
+
"11": "book",
|
| 25 |
+
"12": "bowling",
|
| 26 |
+
"13": "brown",
|
| 27 |
+
"14": "but",
|
| 28 |
+
"15": "can",
|
| 29 |
+
"16": "candy",
|
| 30 |
+
"17": "chair",
|
| 31 |
+
"18": "change",
|
| 32 |
+
"19": "cheat",
|
| 33 |
+
"20": "city",
|
| 34 |
+
"21": "clothes",
|
| 35 |
+
"22": "color",
|
| 36 |
+
"23": "computer",
|
| 37 |
+
"24": "cook",
|
| 38 |
+
"25": "cool",
|
| 39 |
+
"26": "corn",
|
| 40 |
+
"27": "cousin",
|
| 41 |
+
"28": "cow",
|
| 42 |
+
"29": "dance",
|
| 43 |
+
"30": "dark",
|
| 44 |
+
"31": "deaf",
|
| 45 |
+
"32": "decide",
|
| 46 |
+
"33": "doctor",
|
| 47 |
+
"34": "dog",
|
| 48 |
+
"35": "drink",
|
| 49 |
+
"36": "eat",
|
| 50 |
+
"37": "enjoy",
|
| 51 |
+
"38": "family",
|
| 52 |
+
"39": "fine",
|
| 53 |
+
"40": "finish",
|
| 54 |
+
"41": "fish",
|
| 55 |
+
"42": "forget",
|
| 56 |
+
"43": "full",
|
| 57 |
+
"44": "give",
|
| 58 |
+
"45": "go",
|
| 59 |
+
"46": "graduate",
|
| 60 |
+
"47": "hat",
|
| 61 |
+
"48": "hearing",
|
| 62 |
+
"49": "help",
|
| 63 |
+
"50": "hot",
|
| 64 |
+
"51": "how",
|
| 65 |
+
"52": "jacket",
|
| 66 |
+
"53": "kiss",
|
| 67 |
+
"54": "language",
|
| 68 |
+
"55": "last",
|
| 69 |
+
"56": "later",
|
| 70 |
+
"57": "letter",
|
| 71 |
+
"58": "like",
|
| 72 |
+
"59": "man",
|
| 73 |
+
"60": "many",
|
| 74 |
+
"61": "medicine",
|
| 75 |
+
"62": "meet",
|
| 76 |
+
"63": "mother",
|
| 77 |
+
"64": "need",
|
| 78 |
+
"65": "no",
|
| 79 |
+
"66": "now",
|
| 80 |
+
"67": "orange",
|
| 81 |
+
"68": "paint",
|
| 82 |
+
"69": "paper",
|
| 83 |
+
"70": "pink",
|
| 84 |
+
"71": "pizza",
|
| 85 |
+
"72": "play",
|
| 86 |
+
"73": "pull",
|
| 87 |
+
"74": "purple",
|
| 88 |
+
"75": "right",
|
| 89 |
+
"76": "same",
|
| 90 |
+
"77": "school",
|
| 91 |
+
"78": "secretary",
|
| 92 |
+
"79": "shirt",
|
| 93 |
+
"80": "short",
|
| 94 |
+
"81": "son",
|
| 95 |
+
"82": "study",
|
| 96 |
+
"83": "table",
|
| 97 |
+
"84": "tall",
|
| 98 |
+
"85": "tell",
|
| 99 |
+
"86": "thanksgiving",
|
| 100 |
+
"87": "thin",
|
| 101 |
+
"88": "thursday",
|
| 102 |
+
"89": "time",
|
| 103 |
+
"90": "walk",
|
| 104 |
+
"91": "want",
|
| 105 |
+
"92": "what",
|
| 106 |
+
"93": "white",
|
| 107 |
+
"94": "who",
|
| 108 |
+
"95": "woman",
|
| 109 |
+
"96": "work",
|
| 110 |
+
"97": "wrong",
|
| 111 |
+
"98": "year",
|
| 112 |
+
"99": "yes"
|
| 113 |
+
},
|
| 114 |
+
"image_size": 224,
|
| 115 |
+
"initializer_range": 0.02,
|
| 116 |
+
"intermediate_size": 3072,
|
| 117 |
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"label2id": {
|
| 118 |
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"accident": 0,
|
| 119 |
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"africa": 1,
|
| 120 |
+
"all": 2,
|
| 121 |
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"apple": 3,
|
| 122 |
+
"basketball": 4,
|
| 123 |
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"bed": 5,
|
| 124 |
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"before": 6,
|
| 125 |
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"bird": 7,
|
| 126 |
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"birthday": 8,
|
| 127 |
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"black": 9,
|
| 128 |
+
"blue": 10,
|
| 129 |
+
"book": 11,
|
| 130 |
+
"bowling": 12,
|
| 131 |
+
"brown": 13,
|
| 132 |
+
"but": 14,
|
| 133 |
+
"can": 15,
|
| 134 |
+
"candy": 16,
|
| 135 |
+
"chair": 17,
|
| 136 |
+
"change": 18,
|
| 137 |
+
"cheat": 19,
|
| 138 |
+
"city": 20,
|
| 139 |
+
"clothes": 21,
|
| 140 |
+
"color": 22,
|
| 141 |
+
"computer": 23,
|
| 142 |
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"cook": 24,
|
| 143 |
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"cool": 25,
|
| 144 |
+
"corn": 26,
|
| 145 |
+
"cousin": 27,
|
| 146 |
+
"cow": 28,
|
| 147 |
+
"dance": 29,
|
| 148 |
+
"dark": 30,
|
| 149 |
+
"deaf": 31,
|
| 150 |
+
"decide": 32,
|
| 151 |
+
"doctor": 33,
|
| 152 |
+
"dog": 34,
|
| 153 |
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"drink": 35,
|
| 154 |
+
"eat": 36,
|
| 155 |
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"enjoy": 37,
|
| 156 |
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"family": 38,
|
| 157 |
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"fine": 39,
|
| 158 |
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"finish": 40,
|
| 159 |
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"fish": 41,
|
| 160 |
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"forget": 42,
|
| 161 |
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"full": 43,
|
| 162 |
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"give": 44,
|
| 163 |
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"go": 45,
|
| 164 |
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"graduate": 46,
|
| 165 |
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"hat": 47,
|
| 166 |
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"hearing": 48,
|
| 167 |
+
"help": 49,
|
| 168 |
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"hot": 50,
|
| 169 |
+
"how": 51,
|
| 170 |
+
"jacket": 52,
|
| 171 |
+
"kiss": 53,
|
| 172 |
+
"language": 54,
|
| 173 |
+
"last": 55,
|
| 174 |
+
"later": 56,
|
| 175 |
+
"letter": 57,
|
| 176 |
+
"like": 58,
|
| 177 |
+
"man": 59,
|
| 178 |
+
"many": 60,
|
| 179 |
+
"medicine": 61,
|
| 180 |
+
"meet": 62,
|
| 181 |
+
"mother": 63,
|
| 182 |
+
"need": 64,
|
| 183 |
+
"no": 65,
|
| 184 |
+
"now": 66,
|
| 185 |
+
"orange": 67,
|
| 186 |
+
"paint": 68,
|
| 187 |
+
"paper": 69,
|
| 188 |
+
"pink": 70,
|
| 189 |
+
"pizza": 71,
|
| 190 |
+
"play": 72,
|
| 191 |
+
"pull": 73,
|
| 192 |
+
"purple": 74,
|
| 193 |
+
"right": 75,
|
| 194 |
+
"same": 76,
|
| 195 |
+
"school": 77,
|
| 196 |
+
"secretary": 78,
|
| 197 |
+
"shirt": 79,
|
| 198 |
+
"short": 80,
|
| 199 |
+
"son": 81,
|
| 200 |
+
"study": 82,
|
| 201 |
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"table": 83,
|
| 202 |
+
"tall": 84,
|
| 203 |
+
"tell": 85,
|
| 204 |
+
"thanksgiving": 86,
|
| 205 |
+
"thin": 87,
|
| 206 |
+
"thursday": 88,
|
| 207 |
+
"time": 89,
|
| 208 |
+
"walk": 90,
|
| 209 |
+
"want": 91,
|
| 210 |
+
"what": 92,
|
| 211 |
+
"white": 93,
|
| 212 |
+
"who": 94,
|
| 213 |
+
"woman": 95,
|
| 214 |
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"work": 96,
|
| 215 |
+
"wrong": 97,
|
| 216 |
+
"year": 98,
|
| 217 |
+
"yes": 99
|
| 218 |
+
},
|
| 219 |
+
"layer_norm_eps": 1e-06,
|
| 220 |
+
"model_type": "timesformer",
|
| 221 |
+
"num_attention_heads": 12,
|
| 222 |
+
"num_channels": 3,
|
| 223 |
+
"num_frames": 8,
|
| 224 |
+
"num_hidden_layers": 12,
|
| 225 |
+
"patch_size": 16,
|
| 226 |
+
"problem_type": "single_label_classification",
|
| 227 |
+
"qkv_bias": true,
|
| 228 |
+
"torch_dtype": "float32",
|
| 229 |
+
"transformers_version": "4.46.1"
|
| 230 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:7ad548c8b5ca8471c2a8d5f3fd2a642106b1a7a930abf51fb3b89dc171e331fb
|
| 3 |
+
size 485373720
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
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|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": {
|
| 3 |
+
"height": 224,
|
| 4 |
+
"width": 224
|
| 5 |
+
},
|
| 6 |
+
"do_center_crop": true,
|
| 7 |
+
"do_normalize": true,
|
| 8 |
+
"do_rescale": true,
|
| 9 |
+
"do_resize": true,
|
| 10 |
+
"image_mean": [
|
| 11 |
+
0.45,
|
| 12 |
+
0.45,
|
| 13 |
+
0.45
|
| 14 |
+
],
|
| 15 |
+
"image_processor_type": "VideoMAEImageProcessor",
|
| 16 |
+
"image_std": [
|
| 17 |
+
0.225,
|
| 18 |
+
0.225,
|
| 19 |
+
0.225
|
| 20 |
+
],
|
| 21 |
+
"resample": 2,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"shortest_edge": 224
|
| 25 |
+
}
|
| 26 |
+
}
|
test_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"accuracy": 0.5697674418604651,
|
| 3 |
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"f1": 0.5384705303309955,
|
| 4 |
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"precision": 0.5654485049833887,
|
| 5 |
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"recall": 0.5697674418604651,
|
| 6 |
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"top_10_accuracy": 0.9031007751937985,
|
| 7 |
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"top_1_accuracy": 0.5697674418604651,
|
| 8 |
+
"top_5_accuracy": 0.8449612403100775
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1177 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.621301775147929,
|
| 3 |
+
"best_model_checkpoint": "/media/cse/HDD/Shawon/shawon/MY DATA/Timesformer_WLASL_100_200_epochs_p20_SR_16/checkpoint-3785",
|
| 4 |
+
"epoch": 40.005,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 7390,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.002777777777777778,
|
| 13 |
+
"grad_norm": 50.3983268737793,
|
| 14 |
+
"learning_rate": 1.3194444444444444e-06,
|
| 15 |
+
"loss": 19.1155,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.005,
|
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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