pytorch tensorboard gpt2 text-generation transformers generated_from_trainer license:mit model-index
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-mediumMetallica
  results: []
---

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# gpt2-mediumMetallica

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6964

## Model description

GPT2-medium trained on a custom dataset of Metallica lyrics

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 11   | 1.6964          |
| No log        | 2.0   | 22   | 1.6964          |
| No log        | 3.0   | 33   | 1.6964          |
| No log        | 4.0   | 44   | 1.6964          |
| No log        | 5.0   | 55   | 1.6964          |
| No log        | 6.0   | 66   | 1.6964          |
| No log        | 7.0   | 77   | 1.6964          |
| No log        | 8.0   | 88   | 1.6964          |
| No log        | 9.0   | 99   | 1.6964          |
| No log        | 10.0  | 110  | 1.6964          |
| No log        | 11.0  | 121  | 1.6964          |
| No log        | 12.0  | 132  | 1.6964          |
| No log        | 13.0  | 143  | 1.6964          |
| No log        | 14.0  | 154  | 1.6964          |
| No log        | 15.0  | 165  | 1.6964          |
| No log        | 16.0  | 176  | 1.6964          |
| No log        | 17.0  | 187  | 1.6964          |
| No log        | 18.0  | 198  | 1.6964          |
| No log        | 19.0  | 209  | 1.6964          |
| No log        | 20.0  | 220  | 1.6964          |


### Framework versions

- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
