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distilbert-base-uncased-finetuned-imdb-whole-word-masking – AI Model by AlaGrine | AlphaNeural AI
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AlaGrine
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distilbert-base-uncased-finetuned-imdb-whole-word-masking
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transformers
tensorboard
safetensors
distilbert
fill-mask
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-imdb-whole-word-masking
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: 3.0554
Model description
The model is trained using whole word masking.
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.2819
1.0
782
3.1161
3.2058
2.0
1564
3.0585
3.1674
3.0
2346
3.0554
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
