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Update README.md
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README.md
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@@ -12,6 +12,8 @@ approximately 12M protein sequences from UniProt, with an 80/20 train/test split
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### Train Metrics
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```python
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'eval_loss': 0.05597764626145363,
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'eval_accuracy': 0.9829392036087405,
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### Test Metrics
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```python
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'eval_loss': 0.16281947493553162,
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'eval_accuracy': 0.9569658774883986,
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### Train Metrics
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(Based on a 40% sample)
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```python
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'eval_loss': 0.05597764626145363,
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'eval_accuracy': 0.9829392036087405,
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### Test Metrics
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Due to technical issues we had to get the test metrics in chunks and aggregate. To see the metrics for each chunk,
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[refer to this text file](https://huggingface.co/AmelieSchreiber/esm2_t33_650M_qlora_binding_12M/blob/main/test_metrics.txt).
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```python
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'eval_loss': 0.16281947493553162,
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'eval_accuracy': 0.9569658774883986,
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