safetensors trl sft generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: 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. -->

# results

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0307

## 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: 0.0001
- 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: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1301        | 0.05  | 20   | 0.1112          |
| 0.14          | 0.09  | 40   | 0.1021          |
| 0.1582        | 0.14  | 60   | 0.1935          |
| 0.1106        | 0.19  | 80   | 0.1298          |
| 0.1646        | 0.23  | 100  | 0.1226          |
| 0.0748        | 0.28  | 120  | 0.0889          |
| 0.1169        | 0.33  | 140  | 0.0966          |
| 0.1127        | 0.38  | 160  | 0.0706          |
| 0.0899        | 0.42  | 180  | 0.0696          |
| 0.1202        | 0.47  | 200  | 0.1355          |
| 0.0491        | 0.52  | 220  | 0.0529          |
| 0.0931        | 0.56  | 240  | 0.0466          |
| 0.1068        | 0.61  | 260  | 0.0695          |
| 0.0545        | 0.66  | 280  | 0.0383          |
| 0.0346        | 0.7   | 300  | 0.0307          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
