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  1. README.md +24 -9
  2. model.safetensors +1 -1
  3. runs/Jan07_21-18-08_402eeb12edff/events.out.tfevents.1704666617.402eeb12edff.295.4 +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: 1.5773
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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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- | No log | 1.0 | 152 | 1.7610 |
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- | No log | 2.0 | 304 | 1.6016 |
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- | No log | 3.0 | 456 | 1.6983 |
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- | 1.7793 | 4.0 | 608 | 1.5543 |
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- | 1.7793 | 5.0 | 760 | 1.5773 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 1.3850
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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 | 38 | 1.6960 |
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+ | No log | 2.0 | 76 | 1.5674 |
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+ | No log | 3.0 | 114 | 1.5541 |
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+ | No log | 4.0 | 152 | 1.5729 |
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+ | No log | 5.0 | 190 | 1.5164 |
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+ | No log | 6.0 | 228 | 1.5343 |
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+ | No log | 7.0 | 266 | 1.5232 |
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+ | No log | 8.0 | 304 | 1.4354 |
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+ | No log | 9.0 | 342 | 1.4203 |
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+ | No log | 10.0 | 380 | 1.3526 |
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+ | No log | 11.0 | 418 | 1.3911 |
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+ | No log | 12.0 | 456 | 1.4522 |
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+ | No log | 13.0 | 494 | 1.4324 |
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+ | 1.4666 | 14.0 | 532 | 1.3606 |
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+ | 1.4666 | 15.0 | 570 | 1.3669 |
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+ | 1.4666 | 16.0 | 608 | 1.3420 |
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+ | 1.4666 | 17.0 | 646 | 1.3544 |
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+ | 1.4666 | 18.0 | 684 | 1.3346 |
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+ | 1.4666 | 19.0 | 722 | 1.3747 |
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+ | 1.4666 | 20.0 | 760 | 1.3850 |
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  ### Framework versions
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