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results2 – AI Model by Echiguerkh | AlphaNeural AI
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Echiguerkh
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results2
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
endpoints_compatible
us
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results2
This model is a fine-tuned version of
gfdgdfgdg/arap_qa_bert_large_v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.9506
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: 0.01
train_batch_size: 1
eval_batch_size: 11
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
6.5175
1.0
693
5.9506
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Tokenizers 0.13.3
