|
--- |
|
base_model: vinai/phobert-base-v2 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: model |
|
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. --> |
|
|
|
# model |
|
|
|
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0319 |
|
- Accuracy: 0.9918 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 122 | 0.8579 | 0.8574 | |
|
| No log | 2.0 | 244 | 0.3430 | 0.9645 | |
|
| No log | 3.0 | 366 | 0.1552 | 0.9810 | |
|
| No log | 4.0 | 488 | 0.0981 | 0.9840 | |
|
| 0.6956 | 5.0 | 610 | 0.0636 | 0.9887 | |
|
| 0.6956 | 6.0 | 732 | 0.0499 | 0.9892 | |
|
| 0.6956 | 7.0 | 854 | 0.0398 | 0.9907 | |
|
| 0.6956 | 8.0 | 976 | 0.0346 | 0.9918 | |
|
| 0.0742 | 9.0 | 1098 | 0.0321 | 0.9918 | |
|
| 0.0742 | 10.0 | 1220 | 0.0319 | 0.9918 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
