Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
clasificador-rotten-tomatoes – AI Model by inigo99 | AlphaNeural AI
You can deploy this model and start earning money today!
inigo99
/
clasificador-rotten-tomatoes
like
0
transformers
pytorch
bert
text-classification
classification
generated_from_trainer
rotten_tomatoes
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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: 0.8343
Accuracy: 0.8527
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
0.3971
1.0
1067
0.4166
0.8377
0.2056
2.0
2134
0.7931
0.8218
0.0672
3.0
3201
0.8343
0.8527
Framework versions
Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2
