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distilbert-base-uncased-finetuned-imdb – AI Model by larryboy825 | AlphaNeural AI
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larryboy825
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distilbert-base-uncased-finetuned-imdb
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transformers
pytorch
distilbert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.0021
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: 2e-05
train_batch_size: 64
eval_batch_size: 64
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
4.6836
1.0
2
3.3110
3.9035
2.0
4
3.2560
3.9928
3.0
6
2.4306
Framework versions
Transformers 4.19.2
Pytorch 1.11.0
Datasets 2.2.2
Tokenizers 0.12.1
