BertWhatCommitPreprocessed – AI Model by AlexC98 | AlphaNeural AI | AlphaNeural AI

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AlexC98/
BertWhatCommitPreprocessed

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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BertWhatCommitPreprocessed

This model is a fine-tuned version of prajjwal1/bert-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3631
Accuracy: 0.9152

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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	38	0.5383	0.7333
No log	2.0	76	0.4130	0.8485
No log	3.0	114	0.3096	0.8727
No log	4.0	152	0.3140	0.8788
No log	5.0	190	0.2983	0.8970
No log	6.0	228	0.3019	0.8848
No log	7.0	266	0.3235	0.9030
No log	8.0	304	0.3571	0.8970
No log	9.0	342	0.3457	0.8970
No log	10.0	380	0.3340	0.8909
No log	11.0	418	0.3378	0.9091
No log	12.0	456	0.3389	0.9091
No log	13.0	494	0.3753	0.9030
0.2144	14.0	532	0.3492	0.9152
0.2144	15.0	570	0.3631	0.9152

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3