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xlnet-base-cased-IUChatbot-ontologyDts-localParams – AI Model by nntadotzip | AlphaNeural AI
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xlnet-base-cased-IUChatbot-ontologyDts-localParams
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transformers
pytorch
tensorboard
xlnet
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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xlnet-base-cased-IUChatbot-ontologyDts-localParams
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: 0.0238
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: 8
eval_batch_size: 32
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
0.1172
1.0
1119
0.0657
0.0564
2.0
2238
0.0237
0.033
3.0
3357
0.0238
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.18.0
Tokenizers 0.10.3
