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herbert-base-cased-finetuned-squad – AI Model by Aleksandra | AlphaNeural AI
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Aleksandra
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herbert-base-cased-finetuned-squad
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
cc-by-4.0
endpoints_compatible
us
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herbert-base-cased-finetuned-squad
This model is a fine-tuned version of
allegro/herbert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2071
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
233
1.2474
No log
2.0
466
1.1951
1.3459
3.0
699
1.2071
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3
