Farzana89
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distilBERT_m

Text Classification

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distilBERT_m

This model is a fine-tuned version of csebuetnlp/banglabert_small on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7139
Accuracy: 0.6683

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
num_epochs: 30

Training results

Framework versions

Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4

Downloads last month: 1

Safetensors

Model size

13.7M params

Tensor type

F32

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csebuetnlp/banglabert_small

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