---
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: 1.8070

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.958         | 0.0   | 20   | 1.8399          |
| 1.8756        | 0.01  | 40   | 1.8082          |
| 1.888         | 0.01  | 60   | 1.7994          |
| 1.7863        | 0.01  | 80   | 1.7892          |
| 1.7987        | 0.01  | 100  | 1.7897          |
| 1.847         | 0.02  | 120  | 1.7881          |
| 1.8505        | 0.02  | 140  | 1.7858          |
| 1.7915        | 0.02  | 160  | 1.7900          |
| 1.8611        | 0.03  | 180  | 1.7942          |
| 1.8827        | 0.03  | 200  | 1.7943          |
| 1.88          | 0.03  | 220  | 1.7953          |
| 1.8887        | 0.03  | 240  | 1.7888          |
| 1.6737        | 0.04  | 260  | 1.7939          |
| 1.8471        | 0.04  | 280  | 1.7880          |
| 1.8163        | 0.04  | 300  | 1.7835          |
| 1.7763        | 0.04  | 320  | 1.7825          |
| 1.8567        | 0.05  | 340  | 1.7962          |
| 1.8203        | 0.05  | 360  | 1.7871          |
| 1.965         | 0.05  | 380  | 1.7897          |
| 1.9522        | 0.06  | 400  | 1.8036          |
| 1.8826        | 0.06  | 420  | 1.8028          |
| 1.8173        | 0.06  | 440  | 1.8205          |
| 1.8269        | 0.06  | 460  | 1.8059          |
| 1.8498        | 0.07  | 480  | 1.7966          |
| 1.9159        | 0.07  | 500  | 1.8070          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1