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  1. README.md +24 -9
  2. model.safetensors +1 -1
  3. runs/Jan07_21-18-08_402eeb12edff/events.out.tfevents.1704664469.402eeb12edff.295.3 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4194
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.0236 | 1.0 | 581 | 1.7083 |
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- | 1.8282 | 2.0 | 1162 | 1.6452 |
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- | 1.6842 | 3.0 | 1743 | 1.5066 |
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- | 1.5534 | 4.0 | 2324 | 1.4436 |
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- | 1.4659 | 5.0 | 2905 | 1.4194 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1486
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 146 | 1.6589 |
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+ | No log | 2.0 | 292 | 1.5801 |
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+ | No log | 3.0 | 438 | 1.5258 |
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+ | 1.7336 | 4.0 | 584 | 1.4607 |
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+ | 1.7336 | 5.0 | 730 | 1.4002 |
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+ | 1.7336 | 6.0 | 876 | 1.4025 |
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+ | 1.4357 | 7.0 | 1022 | 1.3493 |
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+ | 1.4357 | 8.0 | 1168 | 1.3449 |
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+ | 1.4357 | 9.0 | 1314 | 1.3117 |
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+ | 1.4357 | 10.0 | 1460 | 1.2954 |
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+ | 1.2491 | 11.0 | 1606 | 1.3056 |
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+ | 1.2491 | 12.0 | 1752 | 1.2601 |
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+ | 1.2491 | 13.0 | 1898 | 1.2488 |
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+ | 1.1171 | 14.0 | 2044 | 1.2119 |
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+ | 1.1171 | 15.0 | 2190 | 1.2133 |
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+ | 1.1171 | 16.0 | 2336 | 1.1962 |
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+ | 1.1171 | 17.0 | 2482 | 1.1902 |
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+ | 1.0375 | 18.0 | 2628 | 1.1545 |
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+ | 1.0375 | 19.0 | 2774 | 1.1702 |
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+ | 1.0375 | 20.0 | 2920 | 1.1486 |
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  ### Framework versions
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