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End of training

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  1. README.md +5 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [judy93536/distilroberta-newsapi121k](https://huggingface.co/judy93536/distilroberta-newsapi121k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1750
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- - Accuracy: 0.9610
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  ## Model description
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@@ -44,19 +44,15 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_ratio: 0.28
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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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- | No log | 1.0 | 125 | 0.2454 | 0.9029 |
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- | No log | 2.0 | 250 | 0.1751 | 0.9299 |
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- | No log | 3.0 | 375 | 0.1305 | 0.9560 |
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- | 0.2416 | 4.0 | 500 | 0.1636 | 0.9630 |
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- | 0.2416 | 5.0 | 625 | 0.1831 | 0.9620 |
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- | 0.2416 | 6.0 | 750 | 0.1750 | 0.9610 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [judy93536/distilroberta-newsapi121k](https://huggingface.co/judy93536/distilroberta-newsapi121k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1255
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+ - Accuracy: 0.9520
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  ## Model description
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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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  - lr_scheduler_warmup_ratio: 0.28
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+ - num_epochs: 2
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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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+ | No log | 1.0 | 125 | 0.2073 | 0.9219 |
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+ | No log | 2.0 | 250 | 0.1255 | 0.9520 |
 
 
 
 
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  ### Framework versions
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