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rotten_tomatoes_dataset – AI Model by aj-data | AlphaNeural AI
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aj-data
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rotten_tomatoes_dataset
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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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rotten_tomatoes_dataset
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: 0.7857
Accuracy: 0.8630
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
0.3923
1.0
1067
0.3781
0.8480
0.2186
2.0
2134
0.5862
0.8518
0.0747
3.0
3201
0.7857
0.8630
Framework versions
Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
