---
tags:
- generated_from_trainer
model-index:
- name: Llama-360M
  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. -->

# Llama-360M

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: 3.8245

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.6417        | 1.0   | 3    | 8.5751          |
| 8.3908        | 2.0   | 6    | 8.3473          |
| 7.9583        | 3.0   | 9    | 7.9814          |
| 7.3598        | 4.0   | 12   | 7.5011          |
| 6.7468        | 5.0   | 15   | 6.9942          |
| 6.3345        | 6.0   | 18   | 6.6309          |
| 6.0489        | 7.0   | 21   | 6.3987          |
| 5.9651        | 8.0   | 24   | 6.2101          |
| 5.7683        | 9.0   | 27   | 5.9691          |
| 5.3051        | 10.0  | 30   | 5.5791          |
| 4.6791        | 11.0  | 33   | 5.1445          |
| 4.3962        | 12.0  | 36   | 4.8859          |
| 4.0007        | 13.0  | 39   | 4.7013          |
| 3.9473        | 14.0  | 42   | 4.4994          |
| 3.5486        | 15.0  | 45   | 4.3178          |
| 3.3243        | 16.0  | 48   | 4.1587          |
| 3.1305        | 17.0  | 51   | 4.0505          |
| 2.8703        | 18.0  | 54   | 3.9467          |
| 2.7661        | 19.0  | 57   | 3.8780          |
| 2.7976        | 20.0  | 60   | 3.8245          |


### Framework versions

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