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albert-base-v2-finetuned-squad – AI Model by sutd-ai | AlphaNeural AI
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sutd-ai
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albert-base-v2-finetuned-squad
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transformers
pytorch
tensorboard
albert
question-answering
generated_from_trainer
squad_v2
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_v2 dataset. It achieves the following results on the evaluation set:
Loss: 0.9650
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
1.0595
1.0
8248
1.4663
0.6228
2.0
16496
0.8433
0.4347
3.0
24744
0.9650
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
