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distilbert-base-uncased-wandb-week-3-complaints-classifier-1500 – AI Model by Kayvane | AlphaNeural AI
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Kayvane
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distilbert-base-uncased-wandb-week-3-complaints-classifier-1500
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
consumer-finance-complaints
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-wandb-week-3-complaints-classifier-1500
This model is a fine-tuned version of
distilbert-base-uncased
on the consumer-finance-complaints dataset.
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1500
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1
