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text_classification_tutorial – AI Model by animeshjoshi | AlphaNeural AI
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text_classification_tutorial
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
rotten_tomatoes
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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text_classification_tutorial
This model is a fine-tuned version of
distilbert-base-uncased
on the rotten_tomatoes dataset. It achieves the following results on the evaluation set:
Loss: 0.4228
Accuracy: 0.8471
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
0.4238
1.0
534
0.3782
0.8405
0.2422
2.0
1068
0.4228
0.8471
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2
