---
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: 5.3269

## 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: 50
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.6295        | 0.57  | 1    | 9.6320          |
| 9.4685        | 1.71  | 3    | 9.4277          |
| 8.7308        | 2.86  | 5    | 8.9834          |
| 7.7978        | 4.0   | 7    | 8.3652          |
| 7.4895        | 4.57  | 8    | 8.1048          |
| 6.9772        | 5.71  | 10   | 7.7260          |
| 6.6117        | 6.86  | 12   | 7.4107          |
| 6.2461        | 8.0   | 14   | 7.1384          |
| 6.0376        | 8.57  | 15   | 6.9993          |
| 5.6415        | 9.71  | 17   | 6.7886          |
| 5.3502        | 10.86 | 19   | 6.6009          |
| 5.0627        | 12.0  | 21   | 6.4227          |
| 4.9292        | 12.57 | 22   | 6.3169          |
| 4.5619        | 13.71 | 24   | 6.1217          |
| 4.1745        | 14.86 | 26   | 5.9089          |
| 3.895         | 16.0  | 28   | 5.7244          |
| 3.7108        | 16.57 | 29   | 5.6837          |
| 3.4811        | 17.71 | 31   | 5.5533          |
| 3.3174        | 18.86 | 33   | 5.4525          |
| 3.0011        | 20.0  | 35   | 5.4535          |
| 2.8812        | 20.57 | 36   | 5.4168          |
| 2.6512        | 21.71 | 38   | 5.4168          |
| 2.3009        | 22.86 | 40   | 5.3269          |


### Framework versions

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