---
library_name: transformers
base_model: rasyosef/Llama-3.2-400M-Amharic
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-3.2-400M-Amharic-Poems-Stories-V5
  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-V5

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2025
- Model Preparation Time: 0.003

## 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 |
|:-------------:|:------:|:-----:|:---------------:|:----------------------:|
| 3.0159        | 0.1219 | 500   | 2.4049          | 0.003                  |
| 2.0028        | 0.2437 | 1000  | 1.6978          | 0.003                  |
| 1.5634        | 0.3656 | 1500  | 1.4614          | 0.003                  |
| 1.4024        | 0.4874 | 2000  | 1.3237          | 0.003                  |
| 1.2445        | 0.6093 | 2500  | 1.2619          | 0.003                  |
| 1.3169        | 0.7312 | 3000  | 1.2383          | 0.003                  |
| 1.2045        | 0.8530 | 3500  | 1.2104          | 0.003                  |
| 1.2074        | 0.9749 | 4000  | 1.2025          | 0.003                  |
| 0.715         | 1.0968 | 4500  | 1.3746          | 0.003                  |
| 0.5526        | 1.2186 | 5000  | 1.3882          | 0.003                  |
| 0.5383        | 1.3405 | 5500  | 1.3509          | 0.003                  |
| 0.5541        | 1.4623 | 6000  | 1.3664          | 0.003                  |
| 0.561         | 1.5842 | 6500  | 1.3486          | 0.003                  |
| 0.5278        | 1.7061 | 7000  | 1.3447          | 0.003                  |
| 0.5415        | 1.8279 | 7500  | 1.3282          | 0.003                  |
| 0.5491        | 1.9498 | 8000  | 1.3404          | 0.003                  |
| 0.3309        | 2.0717 | 8500  | 1.5191          | 0.003                  |
| 0.1989        | 2.1935 | 9000  | 1.5328          | 0.003                  |
| 0.2018        | 2.3154 | 9500  | 1.5266          | 0.003                  |
| 0.1954        | 2.4372 | 10000 | 1.5309          | 0.003                  |
| 0.1957        | 2.5591 | 10500 | 1.5363          | 0.003                  |
| 0.1983        | 2.6810 | 11000 | 1.5228          | 0.003                  |
| 0.1962        | 2.8028 | 11500 | 1.5295          | 0.003                  |
| 0.1934        | 2.9247 | 12000 | 1.5303          | 0.003                  |
| 0.1566        | 3.0466 | 12500 | 1.5726          | 0.003                  |
| 0.1045        | 3.1684 | 13000 | 1.5975          | 0.003                  |
| 0.1071        | 3.2903 | 13500 | 1.5947          | 0.003                  |
| 0.1076        | 3.4121 | 14000 | 1.5920          | 0.003                  |
| 0.1068        | 3.5340 | 14500 | 1.5922          | 0.003                  |
| 0.1052        | 3.6559 | 15000 | 1.5921          | 0.003                  |
| 0.1074        | 3.7777 | 15500 | 1.5922          | 0.003                  |
| 0.1084        | 3.8996 | 16000 | 1.5923          | 0.003                  |


### Framework versions

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