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results – AI Model by awlassche | AlphaNeural AI
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transformers
safetensors
bert
text-classification
generated_from_trainer
emanjavacas/GysBERT
finetune
mit
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
emanjavacas/GysBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6432
Accuracy: 0.6773
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: 16
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
0.7039
0.9091
100
0.6635
0.5977
0.6269
1.8182
200
0.6418
0.65
0.5328
2.7273
300
0.6432
0.6773
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Tokenizers 0.19.1