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Distilbert-finetuned-IMDB – AI Model by ADRIANRICO | AlphaNeural AI
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Distilbert-finetuned-IMDB
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
imdb
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Distilbert-finetuned-IMDB
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: 0.2736
Accuracy: 0.9067
F1: 0.9066
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5314
1.0
40
0.3674
0.8453
0.8431
0.2634
2.0
80
0.2709
0.888
0.8876
0.1826
3.0
120
0.2656
0.8933
0.8930
0.1433
4.0
160
0.2822
0.8893
0.8890
0.1062
5.0
200
0.2736
0.9067
0.9066
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
