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distilbert-base-uncased-finetuned-wikiandmark_epoch50 – AI Model by wenkai-li | AlphaNeural AI
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distilbert-base-uncased-finetuned-wikiandmark_epoch50
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-wikiandmark_epoch50
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0049
eval_accuracy: 0.9995
eval_runtime: 29.1585
eval_samples_per_second: 127.613
eval_steps_per_second: 4.013
epoch: 6.0
step: 4656
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
