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results – AI Model by Borson | AlphaNeural AI
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transformers
safetensors
electra
text-classification
generated_from_trainer
csebuetnlp/banglishbert
finetune
endpoints_compatible
us
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This model is a fine-tuned version of
csebuetnlp/banglishbert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6552
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: 24
eval_batch_size: 24
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.6814
1.0
889
0.5725
0.3884
2.0
1778
0.5325
0.2473
3.0
2667
0.6552
Framework versions
Transformers 5.15.1
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
