peft pytorch safetensors mistral trl sft generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 4-bit bitsandbytes region:us
---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral-7b-Javelin-small
  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-Javelin-small

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2137

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3516        | 0.07  | 1    | 2.0247          |
| 2.0225        | 0.14  | 2    | 1.8721          |
| 1.7928        | 0.21  | 3    | 1.8193          |
| 1.7108        | 0.29  | 4    | 1.7804          |
| 1.6954        | 0.36  | 5    | 1.7180          |
| 1.6487        | 0.43  | 6    | 1.6507          |
| 1.4139        | 0.5   | 7    | 1.5918          |
| 1.4606        | 0.57  | 8    | 1.5408          |
| 1.3855        | 0.64  | 9    | 1.5004          |
| 1.4993        | 0.71  | 10   | 1.4576          |
| 1.3484        | 0.79  | 11   | 1.4155          |
| 1.6875        | 0.86  | 12   | 1.3773          |
| 1.2003        | 0.93  | 13   | 1.3420          |
| 1.4851        | 1.0   | 14   | 1.3123          |
| 1.5295        | 1.07  | 15   | 1.2891          |
| 1.0738        | 1.14  | 16   | 1.2648          |
| 1.2737        | 1.21  | 17   | 1.2451          |
| 1.2225        | 1.29  | 18   | 1.2304          |
| 1.0444        | 1.36  | 19   | 1.2194          |
| 1.0923        | 1.43  | 20   | 1.2137          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0