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

This model is a fine-tuned version of [GBaker/nystromformer-4096-medqa-usmle-MiniLM-IR-cs](https://huggingface.co/GBaker/nystromformer-4096-medqa-usmle-MiniLM-IR-cs) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8436
- Accuracy: 0.2812

## 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: 10

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| No log        | 0.99  | 79   | 0.2372   | 1.3863          |
| No log        | 1.99  | 158  | 0.2655   | 1.3861          |
| No log        | 2.99  | 237  | 0.2545   | 1.3859          |
| No log        | 3.99  | 316  | 0.2765   | 1.3837          |
| No log        | 4.99  | 395  | 0.2820   | 1.3876          |
| No log        | 5.99  | 474  | 1.3819   | 0.2639          |
| 1.3342        | 6.99  | 553  | 1.4875   | 0.2694          |
| 1.3342        | 7.99  | 632  | 1.6126   | 0.2718          |
| 1.3342        | 8.99  | 711  | 1.7637   | 0.2804          |
| 1.3342        | 9.99  | 790  | 1.8436   | 0.2812          |


### Framework versions

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