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mbert-quoref-webis-2 – AI Model by intanm | AlphaNeural AI
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intanm
/
mbert-quoref-webis-2
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transformers
pytorch
bert
question-answering
generated_from_trainer
intanm/mbert-quoref
finetune
apache-2.0
endpoints_compatible
us
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Model card
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mbert-idkmrc-webis-2
This model is a fine-tuned version of
intanm/mbert-quoref
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.1719
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: 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
No log
1.0
200
3.0455
No log
2.0
400
2.9841
2.8889
3.0
600
3.1719
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
