---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
model-index:
- name: sexed-mistral-7b-sft-lora-v3
  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. -->

# sexed-mistral-7b-sft-lora-v3

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: 0.2857

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4906        | 0.9902  | 38   | 0.4776          |
| 0.3966        | 1.9805  | 76   | 0.4122          |
| 0.3648        | 2.9967  | 115  | 0.3658          |
| 0.3405        | 3.9870  | 153  | 0.3372          |
| 0.3153        | 4.9772  | 191  | 0.3180          |
| 0.2996        | 5.9935  | 230  | 0.3043          |
| 0.2987        | 6.9837  | 268  | 0.2969          |
| 0.2888        | 8.0     | 307  | 0.2923          |
| 0.2899        | 8.9902  | 345  | 0.2898          |
| 0.2873        | 9.9805  | 383  | 0.2883          |
| 0.2831        | 10.9967 | 422  | 0.2872          |
| 0.2773        | 11.9870 | 460  | 0.2866          |
| 0.2814        | 12.9772 | 498  | 0.2862          |
| 0.2781        | 13.9935 | 537  | 0.2860          |
| 0.2845        | 14.9837 | 575  | 0.2858          |
| 0.29          | 16.0    | 614  | 0.2858          |
| 0.2799        | 16.9902 | 652  | 0.2857          |
| 0.2825        | 17.9805 | 690  | 0.2857          |
| 0.2829        | 18.9967 | 729  | 0.2857          |
| 0.2801        | 19.8046 | 760  | 0.2857          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1