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grow_classification_FINAL – AI Model by djifg | AlphaNeural AI
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djifg
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grow_classification_FINAL
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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grow_classification_FINAL
This model is a fine-tuned version of
djifg/grow_classification_kcbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4211
Accuracy: 0.9323
F1: 0.9308
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: 3e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.0173
1.0
407
0.4211
0.9323
0.9308
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
