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README.md
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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:
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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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| No log | 1.0 | 60 | 0.
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| No log | 2.0 | 120 | 0.
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| No log | 3.0 | 180 | 0.
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| No log | 4.0 | 240 | 0.
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| No log | 5.0 | 300 | 0.3181 |
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| No log | 6.0 | 360 | 0.3154 |
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| No log | 7.0 | 420 | 0.3412 |
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| No log | 8.0 | 480 | 0.3386 |
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### Framework versions
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1822
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## Model description
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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: 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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| No log | 1.0 | 60 | 0.2050 |
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| No log | 2.0 | 120 | 0.1561 |
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| No log | 3.0 | 180 | 0.1540 |
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| No log | 4.0 | 240 | 0.1822 |
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### Framework versions
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