---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-medical
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-finetuned-medical

This model is a fine-tuned version of [vega6000/distilgpt2-finetuned-medical](https://huggingface.co/vega6000/distilgpt2-finetuned-medical) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6248

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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 | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 15   | 2.0817          |
| No log        | 2.0   | 30   | 1.9431          |
| No log        | 3.0   | 45   | 1.8487          |
| No log        | 4.0   | 60   | 1.7761          |
| No log        | 5.0   | 75   | 1.7253          |
| No log        | 6.0   | 90   | 1.6875          |
| No log        | 7.0   | 105  | 1.6574          |
| No log        | 8.0   | 120  | 1.6385          |
| No log        | 9.0   | 135  | 1.6288          |
| No log        | 10.0  | 150  | 1.6248          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3