BertGoodCommitOriginal – AI Model by AlexC98 | AlphaNeural AI

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AlexC98/
BertGoodCommitOriginal

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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BertGoodCommitOriginal

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: 0.5639
Accuracy: 0.8242

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	24	0.5844	0.7030
No log	2.0	48	0.5566	0.7212
No log	3.0	72	0.5375	0.7333
No log	4.0	96	0.5321	0.7212
No log	5.0	120	0.5221	0.7333
No log	6.0	144	0.5112	0.7394
No log	7.0	168	0.4828	0.7515
No log	8.0	192	0.4857	0.7818
No log	9.0	216	0.4672	0.7879
No log	10.0	240	0.4740	0.7879
No log	11.0	264	0.4758	0.7818
No log	12.0	288	0.4554	0.8061
No log	13.0	312	0.4697	0.8182
No log	14.0	336	0.4810	0.8242
No log	15.0	360	0.4612	0.8182
No log	16.0	384	0.4663	0.8242
No log	17.0	408	0.4757	0.8182
No log	18.0	432	0.4928	0.8182
No log	19.0	456	0.5371	0.8242
No log	20.0	480	0.5345	0.8182
0.3387	21.0	504	0.5341	0.8182
0.3387	22.0	528	0.5639	0.8242

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3