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finetuned-bert-covid-tweets – AI Model by Moniksama | AlphaNeural AI
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Moniksama
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finetuned-bert-covid-tweets
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuned-bert-covid-tweets
This model is a fine-tuned version of
bert-base-uncased
on the
https://www.kaggle.com/datasets/datatattle/covid-19-nlp-text-classification
dataset. It achieves the following results on the evaluation set:
Loss: 0.2862
Accuracy: 0.9175
F1-score: 0.9177
Precision: 0.9179
Recall: 0.9175
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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1-score
Precision
Recall
0.1911
1.0
513
0.2740
0.9176
0.9176
0.9185
0.9176
0.128
2.0
1026
0.2689
0.9262
0.9264
0.9267
0.9262
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
