huawei-noah_TinyBERT_General_4L_312D_fold_1

This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1349
• Accuracy: 0.9525
• F1: 0.9474
• Precision: 0.9635
• Recall: 0.9318

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1215	1.0	19351	0.1488	0.9460	0.9399	0.9602	0.9205
0.1153	2.0	38702	0.1324	0.9510	0.9456	0.9633	0.9286
0.1158	3.0	58053	0.1349	0.9525	0.9474	0.9635	0.9318

Framework versions

• Transformers 5.3.0
• Pytorch 2.10.0+cu128
• Datasets 4.6.1
• Tokenizers 0.22.2