File size: 1,930 Bytes
26fa4d1 4e5ba7d 26fa4d1 4e5ba7d 26fa4d1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBERT-Final_Mixed-aug_insert_tfidf-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. -->
# PhoBERT-Final_Mixed-aug_insert_tfidf-1
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: 1.1845
- Accuracy: 0.71
- F1: 0.7075
## 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: 41
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.9115 | 1.0 | 88 | 0.7285 | 0.71 | 0.6983 |
| 0.5972 | 2.0 | 176 | 0.7379 | 0.73 | 0.7238 |
| 0.3991 | 3.0 | 264 | 0.7867 | 0.72 | 0.7169 |
| 0.2894 | 4.0 | 352 | 0.8736 | 0.73 | 0.7310 |
| 0.2112 | 5.0 | 440 | 0.9920 | 0.74 | 0.7403 |
| 0.1393 | 6.0 | 528 | 1.0496 | 0.75 | 0.7486 |
| 0.1191 | 7.0 | 616 | 1.1640 | 0.72 | 0.7177 |
| 0.098 | 8.0 | 704 | 1.1845 | 0.71 | 0.7075 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|