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results – AI Model by Mavidart | AlphaNeural AI
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Mavidart
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results
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transformers
tensorboard
safetensors
bert
text-classification
classification
mrpc
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5715
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
459
0.4020
0.5269
2.0
918
0.4015
0.3175
3.0
1377
0.5715
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Tokenizers 0.21.0
