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guj-eng-code-switch-indic-bert – AI Model by h3110Fr13nd | AlphaNeural AI
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h3110Fr13nd
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guj-eng-code-switch-indic-bert
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transformers
tensorboard
safetensors
albert
token-classification
generated_from_trainer
ai4bharat/indic-bert
finetune
mit
endpoints_compatible
us
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guj-eng-code-switch-indic-bert
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: 0.1922
Precision: 0.8477
Recall: 0.8205
F1: 0.8339
Accuracy: 0.9481
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: 32
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_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.2768
1.0
250
0.2721
0.8527
0.7826
0.8162
0.9334
0.1821
2.0
500
0.2106
0.8681
0.8094
0.8378
0.9428
0.1492
3.0
750
0.1922
0.8477
0.8205
0.8339
0.9481
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
