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update model card README.md

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@@ -3,6 +3,8 @@ license: mit
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  base_model: roberta-base
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: roberta_multiple_choice
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  results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # roberta_multiple_choice
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 
 
 
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  ## Model description
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@@ -38,10 +43,21 @@ 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: 3
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  ### Training results
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  ### Framework versions
 
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  base_model: roberta-base
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: roberta_multiple_choice
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  results: []
 
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  # roberta_multiple_choice
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2868
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+ - Accuracy: 0.58
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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: 100
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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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+ | 1.4619 | 1.0 | 3207 | 1.2367 | 0.51 |
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+ | 1.3209 | 2.0 | 6414 | 1.1911 | 0.525 |
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+ | 1.2195 | 3.0 | 9621 | 1.1396 | 0.525 |
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+ | 1.1211 | 4.0 | 12828 | 1.1321 | 0.53 |
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+ | 1.0221 | 5.0 | 16035 | 1.2210 | 0.535 |
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+ | 0.9262 | 6.0 | 19242 | 1.2008 | 0.555 |
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+ | 0.8418 | 7.0 | 22449 | 1.2451 | 0.555 |
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+ | 0.7691 | 8.0 | 25656 | 1.2793 | 0.555 |
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+ | 0.6981 | 9.0 | 28863 | 1.2868 | 0.58 |
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  ### Framework versions