---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: midi_model_3
  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. -->

# midi_model_3

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5542

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 2
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8047        | 0.33  | 300  | 0.7969          |
| 0.7924        | 0.66  | 600  | 0.7735          |
| 0.7758        | 1.0   | 900  | 0.7528          |
| 0.75          | 1.33  | 1200 | 0.7436          |
| 0.7432        | 1.66  | 1500 | 0.7277          |
| 0.7361        | 1.99  | 1800 | 0.7175          |
| 0.7121        | 2.32  | 2100 | 0.7025          |
| 0.708         | 2.65  | 2400 | 0.6861          |
| 0.6971        | 2.99  | 2700 | 0.6781          |
| 0.6777        | 3.32  | 3000 | 0.6718          |
| 0.6733        | 3.65  | 3300 | 0.6578          |
| 0.6643        | 3.98  | 3600 | 0.6500          |
| 0.6422        | 4.31  | 3900 | 0.6423          |
| 0.6401        | 4.65  | 4200 | 0.6330          |
| 0.6302        | 4.98  | 4500 | 0.6228          |
| 0.6103        | 5.31  | 4800 | 0.6148          |
| 0.6066        | 5.64  | 5100 | 0.6069          |
| 0.5995        | 5.97  | 5400 | 0.5979          |
| 0.5724        | 6.31  | 5700 | 0.5915          |
| 0.5772        | 6.64  | 6000 | 0.5870          |
| 0.5677        | 6.97  | 6300 | 0.5771          |
| 0.5491        | 7.3   | 6600 | 0.5740          |
| 0.5433        | 7.63  | 6900 | 0.5675          |
| 0.5384        | 7.96  | 7200 | 0.5630          |
| 0.5245        | 8.3   | 7500 | 0.5611          |
| 0.5206        | 8.63  | 7800 | 0.5578          |
| 0.5198        | 8.96  | 8100 | 0.5553          |
| 0.5141        | 9.29  | 8400 | 0.5544          |
| 0.5091        | 9.62  | 8700 | 0.5543          |
| 0.5096        | 9.96  | 9000 | 0.5542          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0