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@@ -14,21 +14,27 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on [MedNLI](https://physionet.org/content/mednli/1.0.0/).
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.8807
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- - eval_accuracy: 0.8608
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- - eval_runtime: 16.4672
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- - eval_samples_per_second: 86.354
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- - eval_steps_per_second: 10.809
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- - step: 0
 
 
 
 
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  The accuracy for the test set is
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  ```
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- eval_accuracy = 0.8608
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- eval_loss = 0.8807
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- eval_runtime = 0:00:16.46
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- eval_samples = 1395
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- eval_samples_per_second = 86.354
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- eval_steps_per_second = 10.809
 
 
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  ```
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  The labels are
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  ```
@@ -39,18 +45,6 @@ The labels are
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  },
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  ```
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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  ## Training procedure
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  ### Training hyperparameters
 
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  This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on [MedNLI](https://physionet.org/content/mednli/1.0.0/).
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  It achieves the following results on the evaluation set:
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+ ```
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+ {
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+ "eval_accuracy": 0.8788530230522156,
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+ "eval_loss": 0.7843484878540039,
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+ "eval_runtime": 39.7009,
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+ "eval_samples": 1395,
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+ "eval_samples_per_second": 35.138,
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+ "eval_steps_per_second": 1.108
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+ }
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+ ```
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  The accuracy for the test set is
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  ```
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+ {
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+ "eval_accuracy": 0.8607594966888428,
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+ "eval_loss": 0.879707932472229,
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+ "eval_runtime": 27.4404,
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+ "eval_samples": 1395,
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+ "eval_samples_per_second": 51.821,
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+ "eval_steps_per_second": 1.64
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+ }
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  ```
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  The labels are
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  ```
 
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  },
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  ```
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  ## Training procedure
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  ### Training hyperparameters