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xlnet-base-cased-finetuned-squad – AI Model by arrafmousa | AlphaNeural AI
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arrafmousa
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xlnet-base-cased-finetuned-squad
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transformers
pytorch
tensorboard
xlnet
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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xlnet-base-cased-finetuned-squad
This model is a fine-tuned version of
xlnet-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1093
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
203
0.2186
No log
2.0
406
0.1985
0.4204
3.0
609
0.1093
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
