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bert-tiny-finetuned-squad – AI Model by mightyneighbor | AlphaNeural AI
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mightyneighbor
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bert-tiny-finetuned-squad
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transformers
safetensors
bert
question-answering
generated_from_trainer
prajjwal1/bert-tiny
finetune
mit
endpoints_compatible
us
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bert-tiny-finetuned-squad
This model is a fine-tuned version of
prajjwal1/bert-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9432
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: 32
eval_batch_size: 32
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
3.6759
1.0
2767
3.3358
3.2517
2.0
5534
3.0165
3.1717
3.0
8301
2.9432
Framework versions
Transformers 4.48.0
Pytorch 2.3.0+cu121
Datasets 3.2.0
Tokenizers 0.21.0
