peft tensorboard safetensors trl sft generated_from_trainer dataset:generator base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
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: []
---

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# 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: 1.8004

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.857         | 0.0   | 20   | 1.8252          |
| 1.9363        | 0.01  | 40   | 1.7948          |
| 1.7643        | 0.01  | 60   | 1.7910          |
| 1.861         | 0.01  | 80   | 1.7915          |
| 1.8702        | 0.01  | 100  | 1.7903          |
| 1.8619        | 0.02  | 120  | 1.7905          |
| 1.7669        | 0.02  | 140  | 1.7956          |
| 1.8062        | 0.02  | 160  | 1.7895          |
| 1.7802        | 0.03  | 180  | 1.7958          |
| 1.7773        | 0.03  | 200  | 1.7855          |
| 1.8692        | 0.03  | 220  | 1.7936          |
| 1.7815        | 0.03  | 240  | 1.7939          |
| 1.8642        | 0.04  | 260  | 1.7990          |
| 1.8715        | 0.04  | 280  | 1.7953          |
| 1.8999        | 0.04  | 300  | 1.7999          |
| 1.7691        | 0.04  | 320  | 1.7919          |
| 1.7743        | 0.05  | 340  | 1.7973          |
| 1.7692        | 0.05  | 360  | 1.7919          |
| 1.954         | 0.05  | 380  | 1.7934          |
| 1.8872        | 0.06  | 400  | 1.7966          |
| 1.8925        | 0.06  | 420  | 1.7942          |
| 1.8384        | 0.06  | 440  | 1.7949          |
| 1.825         | 0.06  | 460  | 1.7982          |
| 1.8151        | 0.07  | 480  | 1.7959          |
| 1.8599        | 0.07  | 500  | 1.8004          |


### Framework versions

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