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distilbert-base-uncased-finetuned-amz_brander – AI Model by Aleron12 | AlphaNeural AI
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Aleron12
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distilbert-base-uncased-finetuned-amz_brander
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-amz_brander
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1453
eval_runtime: 856.7887
eval_samples_per_second: 248.874
eval_steps_per_second: 15.555
epoch: 3.0
step: 359232
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: 3
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.9.0
Tokenizers 0.13.2
