TinyBERT_General_4L_312D-finetuned-qqp

This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on an unspecified qqp dataset. It achieves the following results on the evaluation set:

• Loss: 0.3278
• Accuracy: 0.8771

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: 16
• eval_batch_size: 16
• 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	Accuracy
0.3224	1.0	22741	0.3264	0.8579
0.2975	2.0	45482	0.3017	0.8669
0.26	3.0	68223	0.3069	0.8743
0.2359	4.0	90964	0.3197	0.8739
0.2231	5.0	113705	0.3278	0.8771

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0