pytorch tensorboard gpt2 text-generation transformers generated_from_trainer license:mit model-index
---
license: mit
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: gpt2-nft-poetry
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
---

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# gpt2-nft-poetry

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: 4.0243

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 282  | 4.3092          |
| 4.5403        | 2.0   | 564  | 4.1283          |
| 4.5403        | 3.0   | 846  | 4.0605          |
| 4.039         | 4.0   | 1128 | 4.0321          |
| 4.039         | 5.0   | 1410 | 4.0243          |


### Framework versions

- Transformers 4.10.0
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
