model

This model is a fine-tuned version of Twitter/twhin-bert-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0268

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.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
2.5334	1.0	300	2.1505
2.1251	2.0	600	2.1301
2.2121	3.0	900	2.0866
1.979	4.0	1200	1.9929
2.0846	5.0	1500	2.0268

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0