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winzo_feature_classifier_lowercase – Dataset by Sanjay679 | AlphaNeural AI
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winzo_feature_classifier_lowercase
This model is a fine-tuned version of
knowledgator/comprehend_it-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0379
Accuracy: 0.9873
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: 8
eval_batch_size: 8
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
Accuracy
0.0639
1.0
14345
0.0698
0.9813
0.0328
2.0
28690
0.0416
0.9871
0.0286
3.0
43035
0.0379
0.9873
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
