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quinto_question_answear – AI Model by Meziane | AlphaNeural AI
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Meziane
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quinto_question_answear
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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quinto_question_answear
This model is a fine-tuned version of
google-bert/bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3786
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
200
0.4053
No log
2.0
400
0.3786
Framework versions
Transformers 4.31.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.13.3
