---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-AWQ
model-index:
- name: Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-5epochs
  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-Instruct-v0.2-AWQ-FaVe-rank8-5epochs

This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-AWQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-AWQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5418

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.2685 | 10   | 2.0920          |
| 2.4063        | 0.5369 | 20   | 1.2183          |
| 2.4063        | 0.8054 | 30   | 0.9081          |
| 0.895         | 1.0738 | 40   | 0.8024          |
| 0.895         | 1.3423 | 50   | 0.7237          |
| 0.6004        | 1.6107 | 60   | 0.6732          |
| 0.6004        | 1.8792 | 70   | 0.6311          |
| 0.476         | 2.1477 | 80   | 0.6282          |
| 0.476         | 2.4161 | 90   | 0.6017          |
| 0.4134        | 2.6846 | 100  | 0.5756          |
| 0.4134        | 2.9530 | 110  | 0.5595          |
| 0.3369        | 3.2215 | 120  | 0.5654          |
| 0.3369        | 3.4899 | 130  | 0.5574          |
| 0.3199        | 3.7584 | 140  | 0.5481          |
| 0.3199        | 4.0268 | 150  | 0.5393          |
| 0.2856        | 4.2953 | 160  | 0.5472          |
| 0.2856        | 4.5638 | 170  | 0.5382          |
| 0.2518        | 4.8322 | 180  | 0.5418          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1