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update model card README.md

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@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # multiqa_model
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- This model is a fine-tuned version of [facebook/muppet-roberta-base](https://huggingface.co/facebook/muppet-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1090
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- - Precision: 0.0513
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- - Recall: 0.0167
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- - F1: 0.0252
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  - Accuracy: 0.9626
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 327 | 0.1114 | 0.0 | 0.0 | 0.0 | 0.9632 |
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- | 0.1197 | 2.0 | 654 | 0.1087 | 0.0345 | 0.0065 | 0.0109 | 0.9622 |
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- | 0.1197 | 3.0 | 981 | 0.1053 | 0.0394 | 0.0076 | 0.0127 | 0.9635 |
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- | 0.0917 | 4.0 | 1308 | 0.1085 | 0.0507 | 0.0173 | 0.0258 | 0.9624 |
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- | 0.08 | 5.0 | 1635 | 0.1090 | 0.0513 | 0.0167 | 0.0252 | 0.9626 |
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  ### Framework versions
 
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  # multiqa_model
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+ This model is a fine-tuned version of [nc33/multiqa_model](https://huggingface.co/nc33/multiqa_model) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1150
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+ - Precision: 0.0855
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+ - Recall: 0.0485
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+ - F1: 0.0619
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  - Accuracy: 0.9626
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 327 | 0.1121 | 0.0708 | 0.0280 | 0.0402 | 0.9631 |
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+ | 0.0786 | 2.0 | 654 | 0.1098 | 0.0531 | 0.0254 | 0.0343 | 0.9599 |
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+ | 0.0786 | 3.0 | 981 | 0.1085 | 0.0657 | 0.0243 | 0.0354 | 0.9634 |
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+ | 0.0681 | 4.0 | 1308 | 0.1133 | 0.0765 | 0.0453 | 0.0569 | 0.9618 |
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+ | 0.0641 | 5.0 | 1635 | 0.1150 | 0.0855 | 0.0485 | 0.0619 | 0.9626 |
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  ### Framework versions