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indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm – AI Model by shakun42 | AlphaNeural AI
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shakun42
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indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm
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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-BanglaRQA-to-squadbn-fact-confirm
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: 1.8557
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.4392
1.0
1370
2.2539
2.0111
2.0
2740
1.8550
1.6822
3.0
4110
1.8097
1.5421
4.0
5480
1.8179
1.4898
5.0
6850
1.8557
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
