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distilbert-base-uncased-finetuned-news – AI Model by KushalRamaiya | AlphaNeural AI
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KushalRamaiya
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distilbert-base-uncased-finetuned-news
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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-news
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown 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: 2e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
292
0.6587
0.8082
0.8069
Framework versions
Transformers 4.22.2
Pytorch 1.12.1
Datasets 2.5.1
Tokenizers 0.12.1
