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

Model tree for simon-muenker/TWON-Agent-OSN-debug

Adapter
(286)
this model