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disaster_model – AI Model by Gyu12 | AlphaNeural AI
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disaster_model
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transformers
pytorch
bert
text-classification
generated_from_trainer
Twitter/twhin-bert-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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disaster_model
This model is a fine-tuned version of
Twitter/twhin-bert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4354
Accuracy: 0.8299
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
No log
1.0
381
0.4139
0.8299
0.4239
2.0
762
0.4354
0.8299
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3