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bharatsentinel-muril – AI Model by Sah017 | AlphaNeural AI
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Sah017
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bharatsentinel-muril
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transformers
safetensors
bert
text-classification
generated_from_trainer
google/muril-base-cased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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bharatsentinel-muril
This model is a fine-tuned version of
google/muril-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0292
Accuracy: 0.9980
F1: 0.9980
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: 32
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.0235
1.0
1123
0.0146
0.9991
0.9991
0.0428
2.0
2246
0.0149
0.9991
0.9991
0.0327
3.0
3369
0.0185
0.9989
0.9989
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
