---
license: apache-2.0
library_name: peft
tags:
- text-generation
- generated_from_trainer
- trl
- sft
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- generator
model-index:
- name: mistral_7b_instruct_v2_constitutional_rf_v1
  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_7b_instruct_v2_constitutional_rf_v1

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: 1.1873

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.939         | 0.1479 | 25   | 0.6645          |
| 0.6144        | 0.2959 | 50   | 0.6128          |
| 0.6042        | 0.4438 | 75   | 0.6052          |
| 0.5929        | 0.5917 | 100  | 0.5997          |
| 0.5968        | 0.7396 | 125  | 0.5949          |
| 0.6017        | 0.8876 | 150  | 0.5933          |
| 0.5471        | 1.0355 | 175  | 0.6293          |
| 0.4246        | 1.1834 | 200  | 0.6185          |
| 0.4311        | 1.3314 | 225  | 0.6143          |
| 0.4175        | 1.4793 | 250  | 0.6188          |
| 0.4303        | 1.6272 | 275  | 0.6225          |
| 0.4271        | 1.7751 | 300  | 0.6251          |
| 0.4248        | 1.9231 | 325  | 0.6277          |
| 0.3568        | 2.0710 | 350  | 0.6847          |
| 0.2759        | 2.2189 | 375  | 0.7119          |
| 0.2687        | 2.3669 | 400  | 0.7089          |
| 0.2796        | 2.5148 | 425  | 0.7163          |
| 0.2735        | 2.6627 | 450  | 0.7142          |
| 0.284         | 2.8107 | 475  | 0.7146          |
| 0.2803        | 2.9586 | 500  | 0.7090          |
| 0.1915        | 3.1065 | 525  | 0.8113          |
| 0.16          | 3.2544 | 550  | 0.8327          |
| 0.1621        | 3.4024 | 575  | 0.8469          |
| 0.163         | 3.5503 | 600  | 0.8476          |
| 0.1615        | 3.6982 | 625  | 0.8422          |
| 0.1737        | 3.8462 | 650  | 0.8518          |
| 0.1685        | 3.9941 | 675  | 0.8573          |
| 0.0961        | 4.1420 | 700  | 0.9936          |
| 0.0874        | 4.2899 | 725  | 1.0188          |
| 0.0891        | 4.4379 | 750  | 1.0285          |
| 0.0897        | 4.5858 | 775  | 1.0269          |
| 0.0882        | 4.7337 | 800  | 1.0333          |
| 0.0889        | 4.8817 | 825  | 1.0527          |
| 0.0826        | 5.0296 | 850  | 1.0765          |
| 0.0519        | 5.1775 | 875  | 1.1579          |
| 0.0513        | 5.3254 | 900  | 1.1684          |
| 0.0523        | 5.4734 | 925  | 1.1906          |
| 0.0496        | 5.6213 | 950  | 1.1796          |
| 0.0495        | 5.7692 | 975  | 1.1850          |
| 0.0479        | 5.9172 | 1000 | 1.1873          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.19.1