---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral_instruct_generation
  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_instruct_generation

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6300

## 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: constant
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8804        | 0.17  | 20   | 1.8834          |
| 1.8364        | 0.34  | 40   | 1.8631          |
| 1.8363        | 0.51  | 60   | 1.8547          |
| 1.8312        | 0.68  | 80   | 1.8298          |
| 1.7648        | 0.85  | 100  | 1.8102          |
| 1.6197        | 1.02  | 120  | 1.7888          |
| 1.6869        | 1.19  | 140  | 1.7887          |
| 1.5637        | 1.36  | 160  | 1.7672          |
| 1.6921        | 1.53  | 180  | 1.7476          |
| 1.5883        | 1.69  | 200  | 1.7305          |
| 1.5235        | 1.86  | 220  | 1.7099          |
| 1.6134        | 2.03  | 240  | 1.7045          |
| 1.4006        | 2.2   | 260  | 1.7191          |
| 1.5571        | 2.37  | 280  | 1.6963          |
| 1.3889        | 2.54  | 300  | 1.6869          |
| 1.4278        | 2.71  | 320  | 1.6658          |
| 1.3868        | 2.88  | 340  | 1.6592          |
| 1.1515        | 3.05  | 360  | 1.6576          |
| 1.2761        | 3.22  | 380  | 1.6553          |
| 1.1679        | 3.39  | 400  | 1.6439          |
| 1.3966        | 3.56  | 420  | 1.6301          |
| 1.2536        | 3.73  | 440  | 1.6200          |
| 1.262         | 3.9   | 460  | 1.6300          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2