bert-base-uncased-wnli-epochs-10-lr-0.0001 – AI Model by prateeky2806 | AlphaNeural AI

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prateeky2806/
bert-base-uncased-wnli-epochs-10-lr-0.0001

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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bert-base-uncased-wnli-epochs-10-lr-0.0001

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

Loss: 0.6970
Accuracy: 0.36

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 28
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	17	0.7353	0.35
No log	2.0	34	0.7247	0.43
No log	3.0	51	0.7062	0.43
No log	4.0	68	0.6870	0.57
No log	5.0	85	0.6935	0.47
No log	6.0	102	0.6891	0.57
No log	7.0	119	0.6949	0.44
No log	8.0	136	0.6996	0.43
No log	9.0	153	0.6981	0.42
No log	10.0	170	0.6970	0.36

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3