---
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: news-summarization-finetuned-mistral-7b
  results: []
---

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# news-summarization-finetuned-mistral-7b

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0477

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.1549        | 0.0109 | 20   | 2.1256          |
| 2.0143        | 0.0219 | 40   | 2.0855          |
| 2.0595        | 0.0328 | 60   | 2.0559          |
| 1.9444        | 0.0437 | 80   | 2.0500          |
| 2.1425        | 0.0547 | 100  | 2.0477          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.4.1+cu121
- Datasets 2.16.0
- Tokenizers 0.20.0