tinybert_train_book_ent_15p_inv_mrpc

This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p_inv on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

• Loss: 0.5824
• Accuracy: 0.6912
• F1: 0.7968
• Combined Score: 0.7440

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

Framework versions

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