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airlinetweets – AI Model by maddiehope | AlphaNeural AI
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maddiehope
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airlinetweets
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transformers
pytorch
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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airlinetweets
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6723
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: 16
eval_batch_size: 64
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
0.5255
1.0
641
0.4095
0.3334
2.0
1282
0.4872
0.2082
3.0
1923
0.6723
Framework versions
Transformers 4.34.1
Pytorch 1.12.1
Datasets 2.14.6
Tokenizers 0.14.1
