---
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: 1.8017

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8552        | 0.0   | 20   | 1.8246          |
| 1.9103        | 0.01  | 40   | 1.7950          |
| 1.8802        | 0.01  | 60   | 1.7918          |
| 1.7641        | 0.01  | 80   | 1.7952          |
| 1.8434        | 0.01  | 100  | 1.7969          |
| 1.8108        | 0.02  | 120  | 1.7955          |
| 1.8556        | 0.02  | 140  | 1.7928          |
| 1.8986        | 0.02  | 160  | 1.7948          |
| 1.8581        | 0.03  | 180  | 1.8270          |
| 1.7897        | 0.03  | 200  | 1.7943          |
| 1.7806        | 0.03  | 220  | 1.7922          |
| 1.8261        | 0.03  | 240  | 1.7956          |
| 1.8138        | 0.04  | 260  | 1.7988          |
| 1.8244        | 0.04  | 280  | 1.7902          |
| 1.8769        | 0.04  | 300  | 1.7977          |
| 1.896         | 0.04  | 320  | 1.7932          |
| 1.9111        | 0.05  | 340  | 1.7987          |
| 1.8624        | 0.05  | 360  | 1.7998          |
| 1.9663        | 0.05  | 380  | 1.7964          |
| 1.9383        | 0.06  | 400  | 1.7989          |
| 1.8478        | 0.06  | 420  | 1.7924          |
| 1.9117        | 0.06  | 440  | 1.7899          |
| 1.8742        | 0.06  | 460  | 1.7920          |
| 1.7778        | 0.07  | 480  | 1.8015          |
| 1.9523        | 0.07  | 500  | 1.8017          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1