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bert-base-cased-IUChatbot-ontologyDts-bertBaseCased-bertTokenizer-12April2022 – AI Model by nntadotzip | AlphaNeural AI
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bert-base-cased-IUChatbot-ontologyDts-bertBaseCased-bertTokenizer-12April2022
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bert-base-cased-IUChatbot-ontologyDts-bertBaseCased-bertTokenizer-12April2022
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3856
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: 8
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
357
0.4760
0.6305
2.0
714
0.3957
0.4345
3.0
1071
0.3856
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
