---
tags:
- generated_from_trainer
model-index:
- name: Llama-450M
  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-450M

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: 5.8986

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 8.6051        | 0.89  | 2    | 8.5427          |
| 8.1233        | 1.78  | 4    | 8.2081          |
| 7.2688        | 2.67  | 6    | 7.6786          |
| 6.3982        | 4.0   | 9    | 7.0782          |
| 5.8794        | 4.89  | 11   | 6.7779          |
| 5.4786        | 5.78  | 13   | 6.5717          |
| 4.994         | 6.67  | 15   | 6.3356          |
| 4.35          | 8.0   | 18   | 6.2257          |
| 3.9757        | 8.89  | 20   | 6.0451          |
| 3.4479        | 9.78  | 22   | 6.0242          |
| 3.1004        | 10.67 | 24   | 5.9219          |
| 2.5207        | 12.0  | 27   | 5.8224          |
| 2.1123        | 12.89 | 29   | 5.9286          |
| 1.7641        | 13.33 | 30   | 5.8986          |


### Framework versions

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