|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- precision |
|
- recall |
|
- f1 |
|
- accuracy |
|
base_model: csebuetnlp/banglabert |
|
model-index: |
|
- name: address_parsing_test_1 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# address_parsing_test_1 |
|
|
|
This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0207 |
|
- Precision: 0.9953 |
|
- Recall: 0.9957 |
|
- F1: 0.9955 |
|
- Accuracy: 0.9963 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
|
| 0.0669 | 1.0 | 1266 | 0.0168 | 0.9890 | 0.9913 | 0.9902 | 0.9937 | |
|
| 0.02 | 2.0 | 2532 | 0.0132 | 0.9953 | 0.9961 | 0.9957 | 0.9967 | |
|
| 0.0122 | 3.0 | 3798 | 0.0177 | 0.9949 | 0.9955 | 0.9952 | 0.9962 | |
|
| 0.0068 | 4.0 | 5064 | 0.0181 | 0.9951 | 0.9957 | 0.9954 | 0.9963 | |
|
| 0.0048 | 5.0 | 6330 | 0.0207 | 0.9953 | 0.9957 | 0.9955 | 0.9963 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.24.0 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
