mobilebert_add_GLUE_Experiment_logit_kd_pretrain_wnli

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

• Loss: nan
• Accuracy: 0.5634

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
0.0	1.0	5	nan	0.5634
0.0	2.0	10	nan	0.5634
0.0	3.0	15	nan	0.5634
0.0	4.0	20	nan	0.5634
0.0	5.0	25	nan	0.5634
0.0	6.0	30	nan	0.5634

Framework versions

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