---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: vesta-notes-md-model-001
  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. -->

# vesta-notes-md-model-001

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6791

## 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: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.4889        | 1.0   | 1909  | 2.0984          |
| 2.1153        | 2.0   | 3818  | 1.8813          |
| 1.9715        | 3.0   | 5727  | 1.7713          |
| 1.8938        | 4.0   | 7636  | 1.7167          |
| 1.8452        | 5.0   | 9545  | 1.6892          |
| 1.8245        | 6.0   | 11454 | 1.6791          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2