---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: radia-fine-tune-mistral-7b-lora-v2
  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. -->

# radia-fine-tune-mistral-7b-lora-v2

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5165

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0388        | 0.09  | 5    | 0.7940          |
| 0.8312        | 0.17  | 10   | 0.7249          |
| 0.6977        | 0.26  | 15   | 0.6799          |
| 0.6852        | 0.34  | 20   | 0.6458          |
| 0.6458        | 0.43  | 25   | 0.6152          |
| 0.6263        | 0.52  | 30   | 0.5930          |
| 0.5636        | 0.6   | 35   | 0.5717          |
| 0.573         | 0.69  | 40   | 0.5538          |
| 0.5467        | 0.78  | 45   | 0.5382          |
| 0.5212        | 0.86  | 50   | 0.5277          |
| 0.4598        | 0.95  | 55   | 0.5165          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0