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distilbert-base-uncased-ner-agnews – AI Model by andi611 | AlphaNeural AI
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andi611
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distilbert-base-uncased-ner-agnews
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
en
ag_news
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-agnews
This model is a fine-tuned version of
distilbert-base-uncased
on the ag_news dataset. It achieves the following results on the evaluation set:
Loss: 0.1652
Accuracy: 0.9474
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: 3e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1916
1.0
3375
0.1741
0.9412
0.123
2.0
6750
0.1631
0.9483
Framework versions
Transformers 4.8.2
Pytorch 1.8.1+cu111
Datasets 1.8.0
Tokenizers 0.10.3