---
library_name: transformers
base_model: babylm/babyllama-100m-2024
tags:
- generated_from_trainer
model-index:
- name: babylama-gpttoken
  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. -->

# babylama-gpttoken

This model is a fine-tuned version of [babylm/babyllama-100m-2024](https://huggingface.co/babylm/babyllama-100m-2024) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 38.2921

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 30.4256       | 0.9999 | 5559  | 29.8987         |
| 38.306        | 1.9999 | 11119 | 37.7677         |
| 38.7146       | 3.0000 | 16679 | 37.7375         |
| 37.8024       | 4.0    | 22239 | 38.2709         |
| 37.35         | 4.9993 | 27795 | 38.2921         |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1