---
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: 3.5063

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.8119        | 1.0   | 3    | 6.8091          |
| 6.6598        | 2.0   | 6    | 6.8246          |
| 6.0219        | 3.0   | 9    | 6.2434          |
| 5.1608        | 4.0   | 12   | 5.4866          |
| 4.6874        | 5.0   | 15   | 5.7119          |
| 4.7554        | 6.0   | 18   | 4.9916          |
| 4.3244        | 7.0   | 21   | 4.8076          |
| 4.3358        | 8.0   | 24   | 4.7170          |
| 4.3353        | 9.0   | 27   | 4.4035          |
| 4.0477        | 10.0  | 30   | 4.1959          |
| 3.7513        | 11.0  | 33   | 3.9729          |
| 3.7101        | 12.0  | 36   | 3.8325          |
| 3.333         | 13.0  | 39   | 3.7540          |
| 3.3225        | 14.0  | 42   | 3.6116          |
| 2.9902        | 15.0  | 45   | 3.5063          |


### Framework versions

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