End of training
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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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- total_train_batch_size: 64
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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:
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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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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0116
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- Accuracy: 0.3307
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## Model description
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- total_train_batch_size: 64
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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: 10
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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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| 1.7752 | 0.9981 | 132 | 1.8412 | 0.2640 |
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| 1.6453 | 1.9962 | 264 | 1.8323 | 0.2867 |
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| 1.6322 | 2.9943 | 396 | 1.7919 | 0.2985 |
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| 1.4239 | 4.0 | 529 | 1.8052 | 0.3188 |
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| 1.3082 | 4.9981 | 661 | 1.8625 | 0.3217 |
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| 1.2395 | 5.9962 | 793 | 1.8780 | 0.3382 |
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| 1.103 | 6.9943 | 925 | 1.9332 | 0.3302 |
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| 1.0687 | 8.0 | 1058 | 1.9723 | 0.3382 |
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| 1.0303 | 8.9981 | 1190 | 2.0012 | 0.3363 |
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| 0.9643 | 9.9811 | 1320 | 2.0116 | 0.3307 |
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### Framework versions
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model.safetensors
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size 267857176
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