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update model card README.md

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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.3386
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  ## Model description
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@@ -38,21 +38,17 @@ The following hyperparameters were used during training:
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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: 8
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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 | 0.4822 |
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- | No log | 2.0 | 120 | 0.3612 |
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- | No log | 3.0 | 180 | 0.3363 |
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- | No log | 4.0 | 240 | 0.3327 |
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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