---
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: amharic_llama_sum_lora_normalized
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# amharic_llama_sum_lora_normalized

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3919

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4711        | 0.4913 | 400  | 0.4692          |
| 0.4225        | 0.9826 | 800  | 0.4294          |
| 0.4064        | 1.4729 | 1200 | 0.4098          |
| 0.3946        | 1.9642 | 1600 | 0.3988          |
| 0.3774        | 2.4544 | 2000 | 0.3934          |
| 0.3834        | 2.9457 | 2400 | 0.3919          |


### Framework versions

- PEFT 0.14.1.dev0
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.22.1