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test_trainer

Text Classification
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Safetensors
bert
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End of training

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  1. README.md +15 -10
  2. model.safetensors +1 -1
  3. training_args.bin +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: 1.9476
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- - F1: 0.6365
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  ## Model description
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@@ -44,17 +44,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.6349 | 1.0 | 1539 | 0.6284 | 0.6389 |
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- | 0.5473 | 2.0 | 3078 | 0.6628 | 0.6696 |
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- | 0.3714 | 3.0 | 4617 | 0.9471 | 0.6583 |
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- | 0.2167 | 4.0 | 6156 | 1.4814 | 0.6357 |
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- | 0.1402 | 5.0 | 7695 | 1.9476 | 0.6365 |
 
 
 
 
 
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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: 3.1209
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+ - F1: 0.6377
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.6469 | 1.0 | 1539 | 0.6294 | 0.6511 |
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+ | 0.5699 | 2.0 | 3078 | 0.6646 | 0.6551 |
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+ | 0.422 | 3.0 | 4617 | 0.9126 | 0.6442 |
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+ | 0.2897 | 4.0 | 6156 | 1.4476 | 0.6229 |
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+ | 0.1953 | 5.0 | 7695 | 1.7371 | 0.6374 |
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+ | 0.144 | 6.0 | 9234 | 2.2666 | 0.6243 |
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+ | 0.0984 | 7.0 | 10773 | 2.3286 | 0.6442 |
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+ | 0.05 | 8.0 | 12312 | 2.7437 | 0.6260 |
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+ | 0.0393 | 9.0 | 13851 | 2.8871 | 0.6332 |
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+ | 0.0259 | 10.0 | 15390 | 3.1209 | 0.6377 |
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  ### Framework versions
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