bert-distill_emotion_ft_0531

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5863
• Accuracy: 0.8
• F1: 0.7620
• Precision: 0.6746

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: 2e-05
• train_batch_size: 512
• eval_batch_size: 512
• 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision
No log	1.0	32	1.0948	0.5905	0.4619	0.3647
No log	2.0	64	0.8247	0.7195	0.6613	0.6385
No log	3.0	96	0.6437	0.7805	0.7343	0.6801
No log	4.0	128	0.5863	0.8	0.7620	0.6746

Framework versions

• Transformers 4.52.4
• Pytorch 2.7.0+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1