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  1. README.md +37 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6824
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- - Accuracy: 0.7670
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  ## Model description
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@@ -45,19 +45,45 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 6
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.9725 | 1.0 | 876 | 1.0953 | 0.6834 |
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- | 0.9389 | 2.0 | 1752 | 0.7982 | 0.7514 |
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- | 0.7549 | 3.0 | 2628 | 0.7214 | 0.7647 |
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- | 0.6895 | 4.0 | 3504 | 0.6963 | 0.7680 |
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- | 0.6712 | 5.0 | 4380 | 0.6856 | 0.7664 |
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- | 0.653 | 6.0 | 5256 | 0.6824 | 0.7670 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6730
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+ - Accuracy: 0.7628
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 32
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 2.2334 | 1.0 | 876 | 1.8027 | 0.4071 |
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+ | 1.6018 | 2.0 | 1752 | 1.1836 | 0.6644 |
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+ | 0.9703 | 3.0 | 2628 | 0.8345 | 0.7433 |
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+ | 0.7557 | 4.0 | 3504 | 0.7281 | 0.7591 |
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+ | 0.7028 | 5.0 | 4380 | 0.6809 | 0.7717 |
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+ | 0.6372 | 6.0 | 5256 | 0.6530 | 0.7768 |
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+ | 0.6074 | 7.0 | 6132 | 0.6411 | 0.7787 |
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+ | 0.5809 | 8.0 | 7008 | 0.6292 | 0.7785 |
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+ | 0.5594 | 9.0 | 7884 | 0.6255 | 0.7832 |
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+ | 0.5452 | 10.0 | 8760 | 0.6334 | 0.7797 |
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+ | 0.5334 | 11.0 | 9636 | 0.6225 | 0.7761 |
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+ | 0.5091 | 12.0 | 10512 | 0.6347 | 0.7734 |
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+ | 0.493 | 13.0 | 11388 | 0.6217 | 0.7794 |
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+ | 0.4883 | 14.0 | 12264 | 0.6259 | 0.7782 |
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+ | 0.4746 | 15.0 | 13140 | 0.6265 | 0.7725 |
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+ | 0.4698 | 16.0 | 14016 | 0.6351 | 0.7728 |
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+ | 0.4531 | 17.0 | 14892 | 0.6401 | 0.7734 |
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+ | 0.4579 | 18.0 | 15768 | 0.6435 | 0.7731 |
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+ | 0.4412 | 19.0 | 16644 | 0.6391 | 0.7710 |
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+ | 0.4377 | 20.0 | 17520 | 0.6432 | 0.7705 |
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+ | 0.4362 | 21.0 | 18396 | 0.6500 | 0.7681 |
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+ | 0.4269 | 22.0 | 19272 | 0.6541 | 0.7674 |
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+ | 0.4227 | 23.0 | 20148 | 0.6555 | 0.7658 |
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+ | 0.4196 | 24.0 | 21024 | 0.6569 | 0.7678 |
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+ | 0.4216 | 25.0 | 21900 | 0.6608 | 0.7660 |
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+ | 0.4107 | 26.0 | 22776 | 0.6651 | 0.7672 |
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+ | 0.4118 | 27.0 | 23652 | 0.6629 | 0.7645 |
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+ | 0.4054 | 28.0 | 24528 | 0.6685 | 0.7624 |
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+ | 0.4112 | 29.0 | 25404 | 0.6705 | 0.7642 |
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+ | 0.3999 | 30.0 | 26280 | 0.6724 | 0.7625 |
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+ | 0.405 | 31.0 | 27156 | 0.6721 | 0.7628 |
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+ | 0.394 | 32.0 | 28032 | 0.6730 | 0.7628 |
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  ### Framework versions
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