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results – AI Model by Neha2608 | AlphaNeural AI
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results
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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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Model card
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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: 0.1933
Accuracy is: 0.9255
F1: 0.9255
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy is
F1
0.2232
1.0
1563
0.1933
0.9255
0.9255
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
