metadata
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed-notpl
results: []
bartpho-word-base-ed-notpl
This model is a fine-tuned version of vinai/bartpho-word-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0244
- F1 Micro: 0.7951
- Recall Micro: 0.7948
- Precision Micro: 0.7954
- F1 Macro: 0.5879
- Recall Macro: 0.6260
- Precision Macro: 0.5898
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
---|---|---|---|---|---|---|---|---|---|
No log | 0.9987 | 393 | 0.0279 | 0.7863 | 0.8013 | 0.7719 | 0.4822 | 0.5178 | 0.5229 |
0.1583 | 2.0 | 787 | 0.0262 | 0.7742 | 0.7654 | 0.7832 | 0.5473 | 0.6047 | 0.5268 |
0.0243 | 2.9987 | 1180 | 0.0238 | 0.7997 | 0.8058 | 0.7937 | 0.5581 | 0.5740 | 0.6036 |
0.0191 | 4.0 | 1574 | 0.0234 | 0.8045 | 0.8061 | 0.8030 | 0.5668 | 0.5815 | 0.6041 |
0.0191 | 4.9936 | 1965 | 0.0244 | 0.7951 | 0.7948 | 0.7954 | 0.5879 | 0.6260 | 0.5898 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1