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responsible_iddistilbert-base-uncased – AI Model by mi23 | AlphaNeural AI
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mi23
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responsible_iddistilbert-base-uncased
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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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responsible_iddistilbert-base-uncased
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: 2.5066
Accuracy: 0.5215
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: 160
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 12
total_train_batch_size: 1920
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 512.0
Training results
Framework versions
Transformers 4.32.0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3