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 pubmed-summarization dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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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- num_epochs: 4
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### Training results
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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 pubmed-summarization dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9949
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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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- num_epochs: 4
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.2258 | 0.8 | 500 | 2.0382 |
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| 2.1769 | 1.6 | 1000 | 1.9865 |
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| 2.1476 | 2.4 | 1500 | 2.0094 |
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| 2.146 | 3.2 | 2000 | 2.0005 |
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| 2.1429 | 4.0 | 2500 | 1.9993 |
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### Framework versions
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