---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nystromformer-4096-medqa-usmle-MiniLM-IR-cs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# nystromformer-4096-medqa-usmle-MiniLM-IR-cs

This model is a fine-tuned version of [uw-madison/nystromformer-4096](https://huggingface.co/uw-madison/nystromformer-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3876
- Accuracy: 0.2820

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.99  | 79   | 1.3863          | 0.2372   |
| No log        | 1.99  | 158  | 1.3861          | 0.2655   |
| No log        | 2.99  | 237  | 1.3859          | 0.2545   |
| No log        | 3.99  | 316  | 1.3837          | 0.2765   |
| No log        | 4.99  | 395  | 1.3876          | 0.2820   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2