---
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: 5.5041

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.6866        | 0.98  | 7    | 8.0542          |
| 6.8762        | 1.96  | 14   | 7.3416          |
| 6.1904        | 2.95  | 21   | 6.8861          |
| 5.7933        | 3.93  | 28   | 6.6310          |
| 5.3583        | 4.91  | 35   | 6.3709          |
| 4.8424        | 5.89  | 42   | 6.1468          |
| 4.4728        | 6.88  | 49   | 5.8255          |
| 3.8852        | 8.0   | 57   | 5.6175          |
| 3.4495        | 8.98  | 64   | 5.5436          |
| 3.2287        | 9.82  | 70   | 5.5041          |


### Framework versions

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