metadata
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: []
sexed-mistral-7b-sft-lora-v3
This model is a fine-tuned version of 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