llama_finetune_mind2web_1B

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the Mind2Web dataset. It achieves the following results on the evaluation set:

• Loss: 4.6648

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
7.566	1.0	505	5.1133
4.9889	2.0	1010	4.7279
4.7964	3.0	1515	4.6648

Framework versions

• PEFT 0.13.2
• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0