---
library_name: transformers
base_model: rasyosef/Llama-3.2-400M-Amharic
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: Llama-3.2-400M-Amharic-Poems-Stories-V6
  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-3.2-400M-Amharic-Poems-Stories-V6

This model is a fine-tuned version of [rasyosef/Llama-3.2-400M-Amharic](https://huggingface.co/rasyosef/Llama-3.2-400M-Amharic) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0045
- Model Preparation Time: 0.0031

## 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: 8e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 250
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time |
|:-------------:|:------:|:----:|:---------------:|:----------------------:|
| 2.6077        | 0.3300 | 500  | 1.4733          | 0.0031                 |
| 1.2277        | 0.6601 | 1000 | 1.0349          | 0.0031                 |
| 0.99          | 0.9901 | 1500 | 0.8903          | 0.0031                 |
| 0.4502        | 1.3201 | 2000 | 0.9601          | 0.0031                 |
| 0.4186        | 1.6502 | 2500 | 0.9117          | 0.0031                 |
| 0.424         | 1.9802 | 3000 | 0.8837          | 0.0031                 |
| 0.1552        | 2.3102 | 3500 | 0.9935          | 0.0031                 |
| 0.1404        | 2.6403 | 4000 | 0.9865          | 0.0031                 |
| 0.1351        | 2.9703 | 4500 | 0.9807          | 0.0031                 |
| 0.0842        | 3.3003 | 5000 | 1.0042          | 0.0031                 |
| 0.0773        | 3.6304 | 5500 | 1.0049          | 0.0031                 |
| 0.0795        | 3.9604 | 6000 | 1.0045          | 0.0031                 |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 3.3.2
- Tokenizers 0.20.3