---
library_name: transformers
base_model: babylm/babyllama-100m-2024
tags:
- generated_from_trainer
model-index:
- name: babylama-attentionchange_correct
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# babylama-attentionchange_correct

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: 3.9352

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 4.3004        | 0.9999 | 5559  | 4.3369          |
| 4.0455        | 1.9999 | 11119 | 4.0892          |
| 3.9127        | 2.9998 | 16678 | 3.9810          |
| 3.8062        | 3.9999 | 22238 | 3.9395          |
| 3.7813        | 4.9994 | 27795 | 3.9352          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3