metadata
library_name: transformers
base_model: csebuetnlp/banglabert_generator
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: banglabert_generator
results: []
banglabert_generator
This model is a fine-tuned version of csebuetnlp/banglabert_generator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0916
- F1: 0.9790
- Accuracy: 0.979
- Precision: 0.9793
- Recall: 0.979
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 438 | 0.0970 | 0.9840 | 0.984 | 0.9840 | 0.984 |
| 0.309 | 2.0 | 876 | 0.0775 | 0.9840 | 0.984 | 0.9841 | 0.984 |
| 0.0944 | 3.0 | 1314 | 0.0916 | 0.9790 | 0.979 | 0.9793 | 0.979 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2