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distilbert-base-uncased-finetuned-imdb – AI Model by Ryosuke11 | AlphaNeural AI
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Ryosuke11
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distilbert-base-uncased-finetuned-imdb
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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
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: 0.6351
Model Preparation Time: 0.002
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
0.5944
1.0
1
0.7436
0.002
0.5451
2.0
2
0.8549
0.002
0.586
3.0
3
0.7350
0.002
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
