---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: c4-sub
  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. -->

# c4-sub

This model is trained from scratch based on [gpt2](https://huggingface.co/gpt2) on an subset of C4 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7307

## 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: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 4.7888        | 0.2695 | 5000  | 4.0815          |
| 4.0127        | 0.5391 | 10000 | 3.8554          |
| 3.8425        | 0.8086 | 15000 | 3.7307          |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1