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NLP-DistilBERT-EE6483project – AI Model by YANX0014NKT | AlphaNeural AI
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NLP-DistilBERT-EE6483project
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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NLP-DistilBERT-EE6483project
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3015
Accuracy: 0.9487
F1: 0.9468
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.4.1+cpu
Datasets 3.1.0
Tokenizers 0.20.1
