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distilbert-base-uncased-nlp-class – AI Model by caroagse | AlphaNeural AI
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distilbert-base-uncased-nlp-class
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transformers
pytorch
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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distilbert-base-uncased-nlp-class
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: 0.3600
Accuracy: 0.8415
F1: 0.8415
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.4645
1.0
134
0.3683
0.8330
0.8329
0.3122
2.0
268
0.3600
0.8415
0.8415
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3