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celt-covid-twitter-bert-v2 – AI Model by tkburis | AlphaNeural AI
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tkburis
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celt-covid-twitter-bert-v2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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celt-covid-twitter-bert-v2
This model is a fine-tuned version of
digitalepidemiologylab/covid-twitter-bert-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4237
F1: 0.8495
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.5772
1.0
988
0.3683
0.8449
0.3161
2.0
1976
0.4237
0.8495
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
