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Finetuned-logits – AI Model by Shifatislam | AlphaNeural AI
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Shifatislam
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Finetuned-logits
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
sagorsarker/bangla-bert-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Finetuned-logits
This model is a fine-tuned version of
sagorsarker/bangla-bert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8038
Accuracy: 0.7070
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: 16
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
lr_scheduler_warmup_ratio: 0.06
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7811
1.0
2221
0.7657
0.6959
0.6799
2.0
4442
0.7569
0.6979
0.5298
3.0
6663
0.8038
0.7070
0.361
4.0
8884
0.8919
0.6927
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
