---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral7b_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. -->

# mistral7b_instruct_generation

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7939

## 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
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7815        | 0.0   | 20   | 1.8296          |
| 1.8199        | 0.01  | 40   | 1.7992          |
| 1.7606        | 0.01  | 60   | 1.7950          |
| 1.8347        | 0.01  | 80   | 1.7923          |
| 1.7433        | 0.01  | 100  | 1.7958          |
| 1.8829        | 0.02  | 120  | 1.7928          |
| 1.769         | 0.02  | 140  | 1.7893          |
| 1.7817        | 0.02  | 160  | 1.7849          |
| 1.7975        | 0.03  | 180  | 1.7881          |
| 2.008         | 0.03  | 200  | 1.7882          |
| 1.827         | 0.03  | 220  | 1.7993          |
| 1.8336        | 0.03  | 240  | 1.7953          |
| 1.8757        | 0.04  | 260  | 1.7916          |
| 1.9317        | 0.04  | 280  | 1.7900          |
| 1.8708        | 0.04  | 300  | 1.7867          |
| 1.8851        | 0.04  | 320  | 1.7928          |
| 1.94          | 0.05  | 340  | 1.7880          |
| 1.7749        | 0.05  | 360  | 1.8033          |
| 1.8647        | 0.05  | 380  | 1.7870          |
| 1.8468        | 0.06  | 400  | 1.7871          |
| 1.8341        | 0.06  | 420  | 1.7890          |
| 1.9152        | 0.06  | 440  | 1.7892          |
| 1.7979        | 0.06  | 460  | 1.8051          |
| 1.9065        | 0.07  | 480  | 1.7986          |
| 1.8011        | 0.07  | 500  | 1.7939          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0