---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- sft
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- generator
model-index:
- name: data
  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. -->

# data

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: 1.2003

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.9474        | 0.1479 | 25   | 0.6950          |
| 0.6403        | 0.2959 | 50   | 0.6291          |
| 0.6184        | 0.4438 | 75   | 0.6191          |
| 0.6041        | 0.5917 | 100  | 0.6083          |
| 0.6023        | 0.7396 | 125  | 0.6047          |
| 0.6086        | 0.8876 | 150  | 0.6014          |
| 0.5545        | 1.0355 | 175  | 0.6375          |
| 0.4278        | 1.1834 | 200  | 0.6235          |
| 0.4297        | 1.3314 | 225  | 0.6276          |
| 0.4172        | 1.4793 | 250  | 0.6314          |
| 0.4273        | 1.6272 | 275  | 0.6375          |
| 0.4264        | 1.7751 | 300  | 0.6345          |
| 0.428         | 1.9231 | 325  | 0.6296          |
| 0.3524        | 2.0710 | 350  | 0.7067          |
| 0.2697        | 2.2189 | 375  | 0.7314          |
| 0.2645        | 2.3669 | 400  | 0.7255          |
| 0.2778        | 2.5148 | 425  | 0.7221          |
| 0.2687        | 2.6627 | 450  | 0.7373          |
| 0.2748        | 2.8107 | 475  | 0.7250          |
| 0.2737        | 2.9586 | 500  | 0.7214          |
| 0.1848        | 3.1065 | 525  | 0.8414          |
| 0.1535        | 3.2544 | 550  | 0.8438          |
| 0.1565        | 3.4024 | 575  | 0.8479          |
| 0.1583        | 3.5503 | 600  | 0.8719          |
| 0.1537        | 3.6982 | 625  | 0.8497          |
| 0.1611        | 3.8462 | 650  | 0.8587          |
| 0.16          | 3.9941 | 675  | 0.8714          |
| 0.0913        | 4.1420 | 700  | 1.0194          |
| 0.0841        | 4.2899 | 725  | 1.0429          |
| 0.0836        | 4.4379 | 750  | 1.0544          |
| 0.0842        | 4.5858 | 775  | 1.0432          |
| 0.081         | 4.7337 | 800  | 1.0386          |
| 0.0848        | 4.8817 | 825  | 1.0705          |
| 0.0776        | 5.0296 | 850  | 1.0773          |
| 0.0485        | 5.1775 | 875  | 1.1910          |
| 0.0481        | 5.3254 | 900  | 1.1800          |
| 0.0481        | 5.4734 | 925  | 1.1915          |
| 0.0467        | 5.6213 | 950  | 1.1996          |
| 0.0468        | 5.7692 | 975  | 1.1961          |
| 0.0449        | 5.9172 | 1000 | 1.2003          |


### Framework versions

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