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qa_model – AI Model by savitri94 | AlphaNeural AI
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savitri94
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qa_model
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
endpoints_compatible
us
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qa_model
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: 1.4386
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
2.2074
1.0
508
1.4386
Framework versions
Transformers 4.54.1
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
