Instructions to use simon-muenker/TWON-Agent-OSN-debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use simon-muenker/TWON-Agent-OSN-debug with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "simon-muenker/TWON-Agent-OSN-debug") - Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| license: llama3.2 | |
| base_model: meta-llama/Llama-3.2-3B-Instruct | |
| tags: | |
| - trl | |
| - sft | |
| - generated_from_trainer | |
| datasets: | |
| - generator | |
| model-index: | |
| - name: TWON-Agent-OSN-debug | |
| 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. --> | |
| # TWON-Agent-OSN-debug | |
| This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the generator dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.8582 | |
| ## 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: 5e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 8 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 3.4066 | 1.0 | 5 | 3.2770 | | |
| | 3.2678 | 2.0 | 10 | 3.1435 | | |
| | 3.1418 | 3.0 | 15 | 3.0416 | | |
| | 3.0482 | 4.0 | 20 | 2.9683 | | |
| | 2.9771 | 5.0 | 25 | 2.9152 | | |
| | 2.9285 | 6.0 | 30 | 2.8812 | | |
| | 2.8971 | 7.0 | 35 | 2.8638 | | |
| | 2.884 | 8.0 | 40 | 2.8582 | | |
| ### Framework versions | |
| - PEFT 0.12.0 | |
| - Transformers 4.47.1 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.2.0 | |
| - Tokenizers 0.21.0 |