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indicbert-finetuned – AI Model by Vishalathreya113 | AlphaNeural AI
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indicbert-finetuned
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transformers
safetensors
bert
question-answering
generated_from_trainer
ai4bharat/IndicBERTv2-MLM-only
finetune
mit
endpoints_compatible
us
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indicbert-finetuned
This model is a fine-tuned version of
ai4bharat/IndicBERTv2-MLM-only
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
5.99
1.0
16
nan
4.1848
2.0
32
nan
4.055
3.0
48
nan
3.9613
4.0
64
nan
3.9535
5.0
80
nan
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Tokenizers 0.21.0
