tinybert_train_book_ent_15p_qnli

This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

• Loss: 0.5580
• Accuracy: 0.7604

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: 5e-05
• train_batch_size: 256
• eval_batch_size: 256
• seed: 10
• 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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6614	1.0	410	0.6407	0.6310
0.6314	2.0	820	0.6209	0.6438
0.5812	3.0	1230	0.6044	0.6694
0.5025	4.0	1640	0.5760	0.7232
0.4218	5.0	2050	0.5617	0.7435
0.3514	6.0	2460	0.5580	0.7604
0.3006	7.0	2870	0.6685	0.7403
0.2537	8.0	3280	0.6642	0.7483
0.2171	9.0	3690	0.7197	0.7461
0.1808	10.0	4100	0.7919	0.7470
0.1569	11.0	4510	0.8724	0.7412

Framework versions

• Transformers 4.46.3
• Pytorch 2.2.1+cu118
• Datasets 3.1.0
• Tokenizers 0.20.3