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sentiment_analysis – AI Model by alexisdpc | AlphaNeural AI
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sentiment_analysis
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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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sentiment_analysis
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: 0.2220
Accuracy: 0.9315
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2246
1.0
1563
0.2627
0.9101
0.1486
2.0
3126
0.2220
0.9315
Framework versions
Transformers 4.33.3
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3
