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DistilBERTForClassification – AI Model by poooj | AlphaNeural AI | AlphaNeural AI
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DistilBERTForClassification
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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DistilBERTForClassification
This model is a fine-tuned version of
distilbert/distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3499
Accuracy: 0.857
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
0.5119
1.0
625
0.3677
0.832
0.3729
2.0
1250
0.3499
0.857
Framework versions
Transformers 4.32.1
Pytorch 2.2.1+cpu
Datasets 2.12.0
Tokenizers 0.13.2
