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bert-mrpc-model – AI Model by ahmed-hany43 | AlphaNeural AI
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ahmed-hany43
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bert-mrpc-model
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safetensors
bert
generated_from_trainer
prajjwal1/bert-tiny
finetune
mit
us
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bert-mrpc-model
This model is a fine-tuned version of
prajjwal1/bert-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9602
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: 0.0002
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: 6
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
230
0.5781
No log
2.0
460
0.5734
0.5532
3.0
690
0.6842
0.5532
4.0
920
0.8211
0.295
5.0
1150
0.9071
0.295
6.0
1380
0.9602
Framework versions
Transformers 4.40.0
Pytorch 2.13.0+cpu
Datasets 5.0.0
Tokenizers 0.19.1
