---
tags:
- generated_from_trainer
model-index:
- name: GPT2-705M
  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. -->

# GPT2-705M

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5538

## 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: 0.00025
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.7407        | 0.57  | 1    | 9.7354          |
| 8.0949        | 1.71  | 3    | 9.2987          |
| 8.037         | 2.86  | 5    | 7.9942          |
| 8.4143        | 4.0   | 7    | 8.3825          |
| 7.7196        | 4.57  | 8    | 8.7978          |
| 7.2632        | 5.71  | 10   | 7.6261          |
| 6.9715        | 6.86  | 12   | 7.4135          |
| 6.4835        | 8.0   | 14   | 8.2776          |
| 7.1529        | 8.57  | 15   | 7.0085          |
| 6.1255        | 9.71  | 17   | 6.8228          |
| 5.9176        | 10.86 | 19   | 6.5603          |
| 5.5785        | 12.0  | 21   | 6.3862          |
| 5.4833        | 12.57 | 22   | 6.3011          |
| 5.1483        | 13.71 | 24   | 6.0480          |
| 4.9268        | 14.86 | 26   | 6.0532          |
| 4.6602        | 16.0  | 28   | 5.7750          |
| 4.5647        | 16.57 | 29   | 5.7046          |
| 4.3202        | 17.71 | 31   | 5.5333          |
| 4.1764        | 18.86 | 33   | 5.5809          |
| 4.1745        | 20.0  | 35   | 5.4089          |
| 4.0056        | 20.57 | 36   | 5.3978          |
| 3.8024        | 21.71 | 38   | 5.4085          |
| 3.5845        | 22.86 | 40   | 5.3279          |
| 3.4378        | 24.0  | 42   | 5.3881          |
| 3.3361        | 24.57 | 43   | 5.2754          |
| 3.2585        | 25.71 | 45   | 5.2913          |
| 3.168         | 26.86 | 47   | 5.4232          |
| 2.9045        | 28.0  | 49   | 5.5044          |
| 2.8709        | 28.57 | 50   | 5.5538          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0