mobilebert_add_GLUE_Experiment_logit_kd_pretrain_mrpc

This model is a fine-tuned version of gokuls/mobilebert_add_pre-training-complete on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Accuracy: 0.3162
• F1: 0.0
• Combined Score: 0.1581

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: 128
• eval_batch_size: 128
• seed: 10
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.0	1.0	29	nan	0.3162	0.0	0.1581
0.0	2.0	58	nan	0.3162	0.0	0.1581
0.0	3.0	87	nan	0.3162	0.0	0.1581
0.0	4.0	116	nan	0.3162	0.0	0.1581
0.0	5.0	145	nan	0.3162	0.0	0.1581
0.0	6.0	174	nan	0.3162	0.0	0.1581

Framework versions

• Transformers 4.26.0
• Pytorch 1.14.0a0+410ce96
• Datasets 2.9.0
• Tokenizers 0.13.2