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clasificador-rotten-tomatoes – AI Model by Ignaciobfp | AlphaNeural AI
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Ignaciobfp
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clasificador-rotten-tomatoes
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transformers
pytorch
bert
text-classification
classification
generated_from_trainer
rotten_tomatoes
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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clasificador-rotten-tomatoes
This model is a fine-tuned version of
bert-base-uncased
on the rotten_tomatoes dataset. It achieves the following results on the evaluation set:
Loss: 0.9082
Accuracy: 0.8433
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
0.403
1.0
1067
0.4134
0.8218
0.2301
2.0
2134
0.6638
0.8433
0.0722
3.0
3201
0.9082
0.8433
Framework versions
Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
