distilbert_add_GLUE_Experiment_mnli – AI Model by gokuls | AlphaNeural AI

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gokuls/
distilbert_add_GLUE_Experiment_mnli

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text-classification

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autotrain_compatible

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distilbert_add_GLUE_Experiment_mnli

This model is a fine-tuned version of distilbert-base-uncased on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.9474
Accuracy: 0.5358

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
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0947	1.0	1534	1.0842	0.3763
1.0512	2.0	3068	1.0320	0.4501
0.9934	3.0	4602	0.9839	0.4935
0.9689	4.0	6136	0.9703	0.4942
0.953	5.0	7670	0.9731	0.5038
0.9377	6.0	9204	0.9563	0.5152
0.9191	7.0	10738	0.9544	0.5311
0.9014	8.0	12272	0.9629	0.5164
0.883	9.0	13806	0.9817	0.5301
0.865	10.0	15340	0.9691	0.5209
0.8452	11.0	16874	0.9606	0.5456
0.8227	12.0	18408	0.9846	0.5341

Framework versions

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