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---
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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: nystromformer-4096-medqa-usmle-MiniLM-IR-cs
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# nystromformer-4096-medqa-usmle-MiniLM-IR-cs
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This model is a fine-tuned version of [uw-madison/nystromformer-4096](https://huggingface.co/uw-madison/nystromformer-4096) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3876
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- Accuracy: 0.2820
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 128
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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: 5
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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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| No log | 0.99 | 79 | 1.3863 | 0.2372 |
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| No log | 1.99 | 158 | 1.3861 | 0.2655 |
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| No log | 2.99 | 237 | 1.3859 | 0.2545 |
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| No log | 3.99 | 316 | 1.3837 | 0.2765 |
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| No log | 4.99 | 395 | 1.3876 | 0.2820 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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