buscacerveja-beer – AI Model by buscaholding | AlphaNeural AI

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buscaholding/
buscacerveja-beer

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text-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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buscacerveja-beer

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

Loss: 2.7803
Accuracy: 0.8696

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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.94	8	4.0031	0.0
No log	2.0	17	3.7600	0.1304
No log	2.94	25	3.5740	0.1739
No log	4.0	34	3.3585	0.4348
No log	4.94	42	3.1771	0.6522
No log	6.0	51	3.0414	0.6522
No log	6.94	59	2.9490	0.7391
No log	8.0	68	2.8559	0.8261
No log	8.94	76	2.7900	0.8696
No log	9.41	80	2.7803	0.8696

Framework versions

Transformers 4.35.2
Pytorch 2.1.0.dev20230621+cu117
Datasets 2.15.0
Tokenizers 0.15.0