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indic-bert-finetuned-brqa-confirmation – AI Model by shakun42 | AlphaNeural AI
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indic-bert-finetuned-brqa-confirmation
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transformers
tensorboard
safetensors
albert
question-answering
generated_from_trainer
ai4bharat/indic-bert
finetune
mit
endpoints_compatible
us
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indic-bert-finetuned-brqa-confirmation
This model is a fine-tuned version of
ai4bharat/indic-bert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4444
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: 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
2.8224
1.0
1304
2.3943
1.5582
2.0
2608
1.4820
1.4031
3.0
3912
1.4444
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
