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distilbert-base-uncased_rotten_tomatoes – AI Model by xianzhew | AlphaNeural AI
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xianzhew
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distilbert-base-uncased_rotten_tomatoes
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
rotten_tomatoes
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased_rotten_tomatoes
This model is a fine-tuned version of
distilbert-base-uncased
on the rotten_tomatoes dataset. It achieves the following results on the evaluation set:
Loss: 0.9770
Accuracy: 0.8405
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4274
1.0
534
0.3831
0.8452
0.2256
2.0
1068
0.5080
0.8405
0.1048
3.0
1602
0.7442
0.8368
0.0503
4.0
2136
0.8985
0.8443
0.0187
5.0
2670
0.9770
0.8405
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2
