---
base_model: PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: CMS-Results
  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. -->

# CMS-Results

This model is a fine-tuned version of [PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed](https://huggingface.co./PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6764

## 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: 1
- 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: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.3035        | 0.8571 | 3    | 1.8262          |
| 1.2484        | 2.0    | 7    | 1.2039          |
| 1.158         | 2.8571 | 10   | 1.0290          |
| 0.7415        | 4.0    | 14   | 0.8352          |
| 0.7861        | 4.8571 | 17   | 0.7549          |
| 0.5122        | 6.0    | 21   | 0.6964          |
| 0.6129        | 6.8571 | 24   | 0.6842          |
| 0.4332        | 8.0    | 28   | 0.6770          |
| 0.4938        | 8.5714 | 30   | 0.6764          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1