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bert-large-uncased-finetuned-squad – AI Model by Ghadafares2 | AlphaNeural AI
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Ghadafares2
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bert-large-uncased-finetuned-squad
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transformers
safetensors
bert
question-answering
generated_from_trainer
google-bert/bert-large-uncased-whole-word-masking-finetuned-squad
finetune
apache-2.0
endpoints_compatible
us
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results
This model is a fine-tuned version of
bert-large-uncased-whole-word-masking-finetuned-squad
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4952
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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.194
1.0
127
1.0157
0.3198
2.0
254
1.2919
0.1319
3.0
381
1.4952
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
