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Taste-classifier-with-ratings – AI Model by lengocquangLAB | AlphaNeural AI
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Taste-classifier-with-ratings
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Taste-classifier-with-ratings
This model is a fine-tuned version of
google-bert/bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4503
Accuracy: 0.4499
Recall: 0.4499
Precision: 0.4499
F1: 0.4499
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Recall
Precision
F1
1.3342
1.0
5000
1.3867
0.4103
0.4103
0.4103
0.4103
1.1525
2.0
10000
1.3346
0.4499
0.4499
0.4499
0.4499
0.8997
3.0
15000
1.4503
0.4499
0.4499
0.4499
0.4499
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
