---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: GPT2_Melody_Generation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GPT2_Melody_Generation

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: 1.3371

## 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: 8
- eval_batch_size: 4
- seed: 1
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7492        | 0.1   | 1000 | 2.8906          |
| 2.6238        | 0.2   | 2000 | 2.2064          |
| 2.1078        | 0.3   | 3000 | 1.8105          |
| 1.8152        | 0.4   | 4000 | 1.6067          |
| 1.6536        | 0.5   | 5000 | 1.4950          |
| 1.5477        | 0.6   | 6000 | 1.4357          |
| 1.4832        | 0.7   | 7000 | 1.3807          |
| 1.4452        | 0.8   | 8000 | 1.3487          |
| 1.4172        | 0.9   | 9000 | 1.3371          |


### Framework versions

- Transformers 4.32.1
- Pytorch 1.11.0+cu113
- Datasets 2.12.0
- Tokenizers 0.13.2