---
tags:
- generated_from_trainer
model-index:
- name: Baby-Llama-58M-RUN3_5
  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. -->

# Baby-Llama-58M-RUN3_5

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: 5.2656

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 287.9659      | 1.0   | 12   | 256.0041        |
| 230.7873      | 2.0   | 24   | 212.6014        |
| 207.1002      | 3.0   | 36   | 180.9384        |
| 121.5561      | 4.0   | 48   | 107.3193        |
| 81.2108       | 5.0   | 60   | 71.6529         |
| 45.9781       | 6.0   | 72   | 40.4501         |
| 24.5986       | 7.0   | 84   | 22.4212         |
| 15.2205       | 8.0   | 96   | 13.7469         |
| 10.1247       | 9.0   | 108  | 9.8119          |
| 7.975         | 10.0  | 120  | 7.8583          |
| 6.7087        | 11.0  | 132  | 7.0360          |
| 6.1988        | 12.0  | 144  | 6.4104          |
| 5.6752        | 13.0  | 156  | 6.1222          |
| 5.5155        | 14.0  | 168  | 5.8179          |
| 4.7754        | 15.0  | 180  | 5.5676          |
| 4.816         | 16.0  | 192  | 5.4583          |
| 4.817         | 17.0  | 204  | 5.3641          |
| 4.6966        | 18.0  | 216  | 5.3147          |
| 4.8322        | 19.0  | 228  | 5.2867          |
| 4.4875        | 20.0  | 240  | 5.2656          |


### Framework versions

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