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text-classification-model – AI Model by ManishW | AlphaNeural AI
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ManishW
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text-classification-model
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
imdb
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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text-classification-model
This model is a fine-tuned version of
distilbert-base-uncased
on the imdb dataset. It achieves the following results on the evaluation set:
Loss: 0.2158
Accuracy: 0.9307
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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2859
1.0
782
0.1943
0.9241
0.1005
2.0
1564
0.2158
0.9307
Framework versions
Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
