---
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.3
model-index:
- name: Mistral_AAID_mixed_train_final_2
  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_AAID_mixed_train_final_2

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co./mistralai/Mistral-7B-v0.3) on the AAID_mixed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5355

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4441        | 0.2188 | 200  | 0.5355          |
| 0.2562        | 0.4375 | 400  | 0.6111          |
| 0.1736        | 0.6563 | 600  | 0.7390          |
| 0.0946        | 0.8750 | 800  | 0.8542          |
| 0.0477        | 1.0938 | 1000 | 1.0103          |
| 0.0275        | 1.3126 | 1200 | 1.1369          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1