peft safetensors generated_from_trainer base_model:meta-llama/Llama-3.1-8B-Instruct base_model:adapter:meta-llama/Llama-3.1-8B-Instruct license:llama3.1 region:us
---
base_model: meta-llama/Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- generated_from_trainer
model-index:
- name: Llama-3.1-8B-Instruct-CrossLingualJudicialSummarization-mildsum-FirstLast-llama3.1
  results: []
---

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# Llama-3.1-8B-Instruct-CrossLingualJudicialSummarization-mildsum-FirstLast-llama3.1

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: 5.2273

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.2792        | 1.8298 | 500  | 5.2796          |
| 5.2161        | 3.6597 | 1000 | 5.2416          |
| 5.1927        | 5.4895 | 1500 | 5.2298          |
| 5.1782        | 7.3193 | 2000 | 5.2273          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1