---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
metrics:
- bleu
- f1
model-index:
- name: Mistral-7B-v0.1_AviationQA
  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. -->

# Mistral-7B-v0.1_AviationQA

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 10.2218
- Bleu: 0.3549
- Rougel: 0.4821
- F1: 0.0005
- Perplexity: 30611.9414

## 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: 2
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Rougel | F1     | Perplexity |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:----------:|
| 10.2565       | 1.0   | 25   | 10.2347         | 0.2507 | 0.3703 | 0.0009 | 29825.1777 |
| 10.1919       | 2.0   | 50   | 10.2232         | 0.3097 | 0.4539 | 0.0008 | 30276.8613 |
| 10.1739       | 3.0   | 75   | 10.2218         | 0.3549 | 0.4821 | 0.0005 | 30611.9414 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0