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haha2 – AI Model by Larisa99661 | AlphaNeural AI
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Larisa99661
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haha2
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transformers
pytorch
bert
text-classification
generated_from_trainer
gender
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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GFMgenderDetection
This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4328
Accuracy: 0.7971
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
0.4591
1.0
4567
0.4502
0.7841
0.3915
2.0
9134
0.4328
0.7971
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
