---
library_name: transformers
base_model: llama_small_config.json
tags:
- generated_from_trainer
model-index:
- name: llama-3.2-350M-fourier
  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-3.2-350M-fourier

This model is a fine-tuned version of [llama_small_config.json](https://huggingface.co/llama_small_config.json) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7984

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 6.2583        | 0.0754 | 1000  | 5.1105          |
| 4.7487        | 0.1508 | 2000  | 4.5762          |
| 4.4098        | 0.2262 | 3000  | 4.3661          |
| 4.2531        | 0.3016 | 4000  | 4.2368          |
| 4.1448        | 0.3770 | 5000  | 4.1446          |
| 4.0569        | 0.4524 | 6000  | 4.0733          |
| 3.9844        | 0.5278 | 7000  | 4.0040          |
| 3.9199        | 0.6032 | 8000  | 3.9439          |
| 3.8622        | 0.6786 | 9000  | 3.8956          |
| 3.8158        | 0.7541 | 10000 | 3.8521          |
| 3.7792        | 0.8295 | 11000 | 3.8213          |
| 3.7546        | 0.9049 | 12000 | 3.8034          |
| 3.7425        | 0.9803 | 13000 | 3.7984          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.1.2+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1