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vipubmed-deberta-base-finetuned-squad – AI Model by namngo | AlphaNeural AI
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vipubmed-deberta-base-finetuned-squad
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transformers
pytorch
tensorboard
deberta-v2
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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vipubmed-deberta-base-finetuned-squad
This model is a fine-tuned version of
manhtt-079/vipubmed-deberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.1007
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
1.5629
1.0
6458
1.6738
1.1718
2.0
12916
1.6706
0.933
3.0
19374
1.8478
0.6312
4.0
25832
2.0736
0.4321
5.0
32290
2.6935
0.2869
6.0
38748
3.5266
0.1894
7.0
45206
4.1007
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
