mobilebert_add_GLUE_Experiment_qqp_128 – AI Model by gokuls | AlphaNeural AI

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gokuls/
mobilebert_add_GLUE_Experiment_qqp_128

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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mobilebert_add_GLUE_Experiment_qqp_128

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE QQP dataset. It achieves the following results on the evaluation set:

Loss: 0.5071
Accuracy: 0.7568
F1: 0.6361
Combined Score: 0.6965

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
0.6507	1.0	2843	0.6497	0.6318	0.0	0.3159
0.6311	2.0	5686	0.5445	0.7259	0.5622	0.6441
0.5153	3.0	8529	0.5153	0.7493	0.5892	0.6693
0.4912	4.0	11372	0.5071	0.7568	0.6361	0.6965
0.4805	5.0	14215	nan	0.6318	0.0	0.3159
0.0	6.0	17058	nan	0.6318	0.0	0.3159
0.0	7.0	19901	nan	0.6318	0.0	0.3159
0.0	8.0	22744	nan	0.6318	0.0	0.3159
0.0	9.0	25587	nan	0.6318	0.0	0.3159

Framework versions

Transformers 4.26.0
Pytorch 1.14.0a0+410ce96
Datasets 2.8.0
Tokenizers 0.13.2