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albert-base-v2-finetuned-squad – AI Model by knlu1016 | AlphaNeural AI
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knlu1016
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albert-base-v2-finetuned-squad
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transformers
pytorch
tensorboard
albert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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albert-base-v2-finetuned-squad
This model is a fine-tuned version of
albert-base-v2
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.1607
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.8695
1.0
5540
0.9092
0.6594
2.0
11080
0.9148
0.5053
3.0
16620
0.9641
0.3477
4.0
22160
1.1607
Framework versions
Transformers 4.13.0
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
