llama_finetune_mind2web
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the Mind2Web dataset. It achieves the following results on the evaluation set:
- Loss: 4.3766
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.5048 | 1.0 | 505 | 4.6510 |
| 4.6129 | 2.0 | 1010 | 4.4311 |
| 4.4755 | 3.0 | 1515 | 4.3766 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for ShinDC/llama_finetune_mind2web
Base model
meta-llama/Llama-3.2-3B-Instruct