sequence_classification

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3597
• Pearson: 0.7863

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: 32
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson
No log	1.0	74	0.3711	0.7131
No log	2.0	148	0.3227	0.7641
No log	3.0	222	0.2954	0.7772
No log	4.0	296	0.3371	0.7700
No log	5.0	370	0.3597	0.7863

Framework versions

• PEFT 0.14.0
• Transformers 4.49.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0