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MahaPhrase_IndicBERT – AI Model by Abhi964 | AlphaNeural AI
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Abhi964
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MahaPhrase_IndicBERT
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
ai4bharat/indic-bert
finetune
mit
autotrain_compatible
endpoints_compatible
us
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MahaPhrase_IndicBERT
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: 0.6919
Accuracy: 0.568
F1: 0.5673
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: 5e-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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
282
0.6934
0.46
0.3547
0.6943
2.0
564
0.6952
0.444
0.3075
0.6943
3.0
846
0.6919
0.568
0.5673
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
