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bert-small-finetuned

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End of training

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  1. README.md +26 -36
  2. model.safetensors +1 -1
  3. runs/Nov09_11-39-39_41f8e8250b9c/events.out.tfevents.1699534435.41f8e8250b9c.518.9 +3 -0
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9941
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- - Accuracy: 0.5903
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- - F1 Score: 0.5865
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 30
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | No log | 1.0 | 24 | 1.2145 | 0.4933 | 0.4701 |
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- | No log | 2.0 | 48 | 1.0960 | 0.5391 | 0.5365 |
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- | No log | 3.0 | 72 | 1.0569 | 0.5768 | 0.5791 |
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- | No log | 4.0 | 96 | 1.0052 | 0.5714 | 0.5698 |
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- | No log | 5.0 | 120 | 0.9889 | 0.5714 | 0.5702 |
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- | No log | 6.0 | 144 | 0.9932 | 0.5795 | 0.5772 |
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- | No log | 7.0 | 168 | 0.9841 | 0.5714 | 0.5680 |
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- | No log | 8.0 | 192 | 0.9941 | 0.5903 | 0.5865 |
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- | No log | 9.0 | 216 | 0.9788 | 0.5903 | 0.5891 |
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- | No log | 10.0 | 240 | 1.0105 | 0.5660 | 0.5617 |
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- | No log | 11.0 | 264 | 1.0473 | 0.5526 | 0.5464 |
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- | No log | 12.0 | 288 | 1.0272 | 0.5714 | 0.5685 |
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- | No log | 13.0 | 312 | 1.0627 | 0.5499 | 0.5492 |
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- | No log | 14.0 | 336 | 1.0428 | 0.5795 | 0.5782 |
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- | No log | 15.0 | 360 | 1.0644 | 0.5633 | 0.5625 |
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- | No log | 16.0 | 384 | 1.1463 | 0.5364 | 0.5261 |
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- | No log | 17.0 | 408 | 1.1109 | 0.5714 | 0.5689 |
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- | No log | 18.0 | 432 | 1.1260 | 0.5741 | 0.5739 |
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- | No log | 19.0 | 456 | 1.1793 | 0.5580 | 0.5533 |
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- | No log | 20.0 | 480 | 1.1968 | 0.5580 | 0.5535 |
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- | 0.6103 | 21.0 | 504 | 1.1961 | 0.5741 | 0.5722 |
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- | 0.6103 | 22.0 | 528 | 1.2399 | 0.5553 | 0.5504 |
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- | 0.6103 | 23.0 | 552 | 1.2642 | 0.5526 | 0.5473 |
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- | 0.6103 | 24.0 | 576 | 1.2530 | 0.5660 | 0.5625 |
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- | 0.6103 | 25.0 | 600 | 1.2637 | 0.5714 | 0.5687 |
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- | 0.6103 | 26.0 | 624 | 1.3012 | 0.5526 | 0.5468 |
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- | 0.6103 | 27.0 | 648 | 1.2932 | 0.5606 | 0.5579 |
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- | 0.6103 | 28.0 | 672 | 1.2888 | 0.5687 | 0.5664 |
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- | 0.6103 | 29.0 | 696 | 1.3087 | 0.5660 | 0.5634 |
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- | 0.6103 | 30.0 | 720 | 1.3073 | 0.5714 | 0.5687 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0048
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+ - Accuracy: 0.6038
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+ - F1 Score: 0.6018
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 86
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+ - eval_batch_size: 86
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 1.3167 | 1.0 | 18 | 1.2414 | 0.4151 | 0.3857 |
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+ | 1.1845 | 2.0 | 36 | 1.1500 | 0.5148 | 0.5148 |
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+ | 1.0823 | 3.0 | 54 | 1.0743 | 0.5499 | 0.5543 |
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+ | 0.995 | 4.0 | 72 | 1.0359 | 0.5553 | 0.5529 |
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+ | 0.9242 | 5.0 | 90 | 1.0195 | 0.5849 | 0.5781 |
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+ | 0.8742 | 6.0 | 108 | 1.0028 | 0.5741 | 0.5758 |
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+ | 0.8237 | 7.0 | 126 | 1.0033 | 0.5930 | 0.5901 |
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+ | 0.7893 | 8.0 | 144 | 0.9967 | 0.5930 | 0.5922 |
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+ | 0.7332 | 9.0 | 162 | 1.0088 | 0.5957 | 0.5924 |
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+ | 0.6997 | 10.0 | 180 | 1.0048 | 0.6038 | 0.6018 |
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+ | 0.6836 | 11.0 | 198 | 1.0120 | 0.6011 | 0.5981 |
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+ | 0.6571 | 12.0 | 216 | 1.0084 | 0.5849 | 0.5864 |
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+ | 0.6253 | 13.0 | 234 | 1.0167 | 0.5903 | 0.5938 |
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+ | 0.5902 | 14.0 | 252 | 1.0184 | 0.5930 | 0.5965 |
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+ | 0.5766 | 15.0 | 270 | 1.0340 | 0.5930 | 0.5925 |
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+ | 0.5591 | 16.0 | 288 | 1.0399 | 0.5930 | 0.5931 |
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+ | 0.5353 | 17.0 | 306 | 1.0364 | 0.5930 | 0.5944 |
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+ | 0.5205 | 18.0 | 324 | 1.0412 | 0.5876 | 0.5889 |
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+ | 0.5197 | 19.0 | 342 | 1.0410 | 0.5849 | 0.5867 |
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+ | 0.5222 | 20.0 | 360 | 1.0418 | 0.5984 | 0.5990 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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runs/Nov09_11-39-39_41f8e8250b9c/events.out.tfevents.1699534435.41f8e8250b9c.518.9 ADDED
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