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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gpt2-ds

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: 6.5115

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.9456        | 0.08  | 10   | 7.6166          |
| 7.4919        | 0.16  | 20   | 7.3649          |
| 7.3086        | 0.24  | 30   | 7.1963          |
| 7.1312        | 0.32  | 40   | 7.0145          |
| 6.9745        | 0.4   | 50   | 6.8656          |
| 6.8648        | 0.48  | 60   | 6.7427          |
| 6.7591        | 0.56  | 70   | 6.6575          |
| 6.6745        | 0.64  | 80   | 6.5982          |
| 6.6597        | 0.72  | 90   | 6.5550          |
| 6.6284        | 0.8   | 100  | 6.5302          |
| 6.5895        | 0.88  | 110  | 6.5159          |
| 6.5568        | 0.96  | 120  | 6.5115          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1