---
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: 5.1685

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.4647        | 0.98  | 7    | 8.5154          |
| 7.2112        | 1.96  | 14   | 7.6819          |
| 6.3283        | 2.95  | 21   | 6.9987          |
| 5.5163        | 3.93  | 28   | 6.4019          |
| 4.7022        | 4.91  | 35   | 5.8715          |
| 3.7692        | 5.89  | 42   | 5.4877          |
| 3.2137        | 6.88  | 49   | 5.2686          |
| 2.6388        | 8.0   | 57   | 5.1854          |
| 2.0768        | 8.98  | 64   | 5.1622          |
| 1.715         | 9.82  | 70   | 5.1685          |


### Framework versions

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