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covid-tweet-bert-large-e2-noweight – AI Model by YanJiangJerry | AlphaNeural AI
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covid-tweet-bert-large-e2-noweight
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transformers
pytorch
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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covid-tweet-bert-large-e2-noweight
This model is a fine-tuned version of
digitalepidemiologylab/covid-twitter-bert-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2582
Accuracy: 0.9568
F1: 0.8878
Precision: 0.8604
Recall: 0.9170
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0593
1.0
1023
0.2053
0.9581
0.8885
0.8810
0.8962
0.0146
2.0
2046
0.2582
0.9568
0.8878
0.8604
0.9170
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
