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malayalam-bert-finetuned-ner – AI Model by AksharaBalan | AlphaNeural AI
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AksharaBalan
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malayalam-bert-finetuned-ner
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transformers
safetensors
bert
token-classification
generated_from_trainer
l3cube-pune/malayalam-bert
finetune
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
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malayalam-bert-finetuned-ner
This model is a fine-tuned version of
l3cube-pune/malayalam-bert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3393
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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
0.3455
1.0
2813
0.3711
0.323
2.0
5626
0.3377
0.2676
3.0
8439
0.3393
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
