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distilbert-bbc-news-classification – AI Model by Umesh | AlphaNeural AI
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Umesh
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distilbert-bbc-news-classification
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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-bbc-news-classification
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0669
Accuracy: 0.9880
F1-score: 0.9880
Recall: 0.9886
Precision: 0.9875
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1-score
Recall
Precision
No log
1.0
98
0.1495
0.9775
0.9775
0.9772
0.9781
No log
2.0
196
0.0737
0.9880
0.9882
0.9885
0.9880
No log
3.0
294
0.0669
0.9880
0.9880
0.9886
0.9875
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
