---
library_name: transformers
base_model: Harshatheeswar/gpt2-scratch
tags:
- generated_from_trainer
model-index:
- name: gpt2-scratch
  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-scratch

This model is a fine-tuned version of [Harshatheeswar/gpt2-scratch](https://huggingface.co/Harshatheeswar/gpt2-scratch) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2516

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3012        | 1.0   | 1390 | 4.2516          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1