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# midi_model_1

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: 0.6007

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6786        | 0.33  | 300  | 0.6620          |
| 0.6483        | 0.66  | 600  | 0.6134          |
| 0.6184        | 1.0   | 900  | 0.6007          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
{"tags": ["generated_from_trainer"], "datasets": ["TristanBehrens/js-fakes-4bars"], "base_model": "gpt2", "model-index": [{"name": "midi_model_1", "results": []}]}
transformers safetensors gpt2 text-generation generated_from_trainer dataset:TristanBehrens/js-fakes-4bars base_model:gpt2 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us