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albert-qa-tensorboard-test – AI Model by Eitanli | AlphaNeural AI
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Eitanli
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albert-qa-tensorboard-test
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transformers
pytorch
tensorboard
albert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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albert-qa-tensorboard-test
This model is a fine-tuned version of
albert-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3121
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: 15
Training results
Training Loss
Epoch
Step
Validation Loss
0.3536
1.0
773
0.1910
0.1677
2.0
1546
0.1616
0.1366
3.0
2319
0.1827
0.1071
4.0
3092
0.2426
0.0921
5.0
3865
0.2372
0.07
6.0
4638
0.2560
0.0698
7.0
5411
0.3121
Framework versions
Transformers 4.27.2
Pytorch 1.13.1+cu117
Datasets 2.11.0
Tokenizers 0.13.3
