TWON-Agent-OSN-debug
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 3.0378
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 |
|---|---|---|---|
| 3.3261 | 1.25 | 5 | 3.3720 |
| 3.1698 | 2.5 | 10 | 3.2575 |
| 3.0862 | 3.75 | 15 | 3.1654 |
| 3.0221 | 5.0 | 20 | 3.1012 |
| 2.9626 | 6.25 | 25 | 3.0603 |
| 2.9274 | 7.5 | 30 | 3.0402 |
Framework versions
- PEFT 0.12.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 0
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
HF Inference deployability: The model has no pipeline_tag.
Model tree for simon-muenker/TWON-Agent-OSN-debug
Base model
meta-llama/Llama-3.2-3B-Instruct