LawToken-1.5B-a2

This model is a fine-tuned version of Qwen/Qwen2-1.5B on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.7890

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 16
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.03
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.9326	0.28	10000	0.9843
0.8644	0.56	20000	0.8726
0.7873	0.85	30000	0.7890

Framework versions

• Transformers 4.38.2
• Pytorch 2.3.0a0+ebedce2
• Datasets 2.19.1
• Tokenizers 0.15.2