---
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: 3.4949

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.4028        | 1.0   | 3    | 8.2019          |
| 7.206         | 2.0   | 6    | 7.1714          |
| 6.3044        | 3.0   | 9    | 6.4447          |
| 5.835         | 4.0   | 12   | 6.0518          |
| 5.2116        | 5.0   | 15   | 5.3661          |
| 4.5014        | 6.0   | 18   | 4.9977          |
| 4.0994        | 7.0   | 21   | 4.6291          |
| 3.8803        | 8.0   | 24   | 4.2823          |
| 3.6287        | 9.0   | 27   | 4.1548          |
| 3.3333        | 10.0  | 30   | 3.8924          |
| 3.016         | 11.0  | 33   | 3.6889          |
| 2.841         | 12.0  | 36   | 3.5575          |
| 2.4063        | 13.0  | 39   | 3.5160          |
| 2.324         | 14.0  | 42   | 3.5069          |
| 1.8726        | 15.0  | 45   | 3.4949          |


### Framework versions

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