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MahaPhrase – AI Model by Abhi964 | AlphaNeural AI
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Abhi964
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MahaPhrase
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
l3cube-pune/marathi-bert
finetune
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
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MahaPhrase
This model is a fine-tuned version of
l3cube-pune/marathi-bert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5560
Accuracy: 0.904
F1: 0.9026
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
0.4933
0.912
0.9103
0.1825
2.0
564
0.4727
0.904
0.9030
0.1825
3.0
846
0.5560
0.904
0.9026
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0