BertWhatCommitOriginal – AI Model by AlexC98 | AlphaNeural AI

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AlexC98/
BertWhatCommitOriginal

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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BertWhatCommitOriginal

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: 0.3530
Accuracy: 0.9091

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	0.5485	0.7152
No log	2.0	76	0.4204	0.8364
No log	3.0	114	0.2951	0.8788
No log	4.0	152	0.2811	0.8848
No log	5.0	190	0.2628	0.8909
No log	6.0	228	0.2605	0.8970
No log	7.0	266	0.2790	0.8970
No log	8.0	304	0.2821	0.9030
No log	9.0	342	0.2724	0.9212
No log	10.0	380	0.2871	0.9091
No log	11.0	418	0.3067	0.9273
No log	12.0	456	0.3404	0.9273
No log	13.0	494	0.3645	0.9212
0.2027	14.0	532	0.3422	0.9152
0.2027	15.0	570	0.4038	0.9212
0.2027	16.0	608	0.3530	0.9091

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3