transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:GPT2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: GPT2
tags:
- generated_from_trainer
model-index:
- name: output
  results: []
---

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

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: 4.1183

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.8165        | 1.0   | 1254 | 4.5915          |
| 4.534         | 2.0   | 2508 | 4.2922          |
| 4.2716        | 3.0   | 3762 | 4.1183          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
