---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
datasets:
- generator
model-index:
- name: news-summarization-finetuned-mistral-7b
  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. -->

# news-summarization-finetuned-mistral-7b

This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4730

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.2259        | 0.2985 | 20   | 2.4012          |
| 1.9923        | 0.5970 | 40   | 2.2957          |
| 1.9638        | 0.8955 | 60   | 2.2907          |
| 1.5504        | 1.1940 | 80   | 2.3691          |
| 1.4113        | 1.4925 | 100  | 2.4730          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.19.1