---
library_name: transformers
license: agpl-3.0
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: classification_phobert-v2
  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. -->

# classification_phobert-v2

This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4251
- F1: 0.9439

## 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- 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: 40.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 194  | 0.2289          | 0.9347 |
| No log        | 2.0   | 388  | 0.1812          | 0.9400 |
| 0.2405        | 3.0   | 582  | 0.1774          | 0.9447 |
| 0.2405        | 4.0   | 776  | 0.1997          | 0.9433 |
| 0.2405        | 5.0   | 970  | 0.2236          | 0.9428 |
| 0.1112        | 6.0   | 1164 | 0.2448          | 0.9380 |
| 0.1112        | 7.0   | 1358 | 0.2250          | 0.9442 |
| 0.0717        | 8.0   | 1552 | 0.2410          | 0.9414 |
| 0.0717        | 9.0   | 1746 | 0.2488          | 0.9414 |
| 0.0717        | 10.0  | 1940 | 0.2667          | 0.9447 |
| 0.0525        | 11.0  | 2134 | 0.2683          | 0.9456 |
| 0.0525        | 12.0  | 2328 | 0.3145          | 0.9414 |
| 0.0402        | 13.0  | 2522 | 0.2749          | 0.9467 |
| 0.0402        | 14.0  | 2716 | 0.3030          | 0.9430 |
| 0.0402        | 15.0  | 2910 | 0.3059          | 0.9458 |
| 0.0285        | 16.0  | 3104 | 0.3260          | 0.9425 |
| 0.0285        | 17.0  | 3298 | 0.3208          | 0.9464 |
| 0.0285        | 18.0  | 3492 | 0.3752          | 0.9394 |
| 0.0225        | 19.0  | 3686 | 0.3408          | 0.9450 |
| 0.0225        | 20.0  | 3880 | 0.4128          | 0.9366 |
| 0.0166        | 21.0  | 4074 | 0.3799          | 0.9408 |
| 0.0166        | 22.0  | 4268 | 0.3940          | 0.9389 |
| 0.0166        | 23.0  | 4462 | 0.3740          | 0.9450 |
| 0.0153        | 24.0  | 4656 | 0.3810          | 0.9400 |
| 0.0153        | 25.0  | 4850 | 0.4278          | 0.9403 |
| 0.0122        | 26.0  | 5044 | 0.3878          | 0.9436 |
| 0.0122        | 27.0  | 5238 | 0.3903          | 0.9433 |
| 0.0122        | 28.0  | 5432 | 0.3904          | 0.9442 |
| 0.0114        | 29.0  | 5626 | 0.4205          | 0.9428 |
| 0.0114        | 30.0  | 5820 | 0.3969          | 0.9433 |
| 0.0096        | 31.0  | 6014 | 0.3967          | 0.9439 |
| 0.0096        | 32.0  | 6208 | 0.4009          | 0.9442 |
| 0.0096        | 33.0  | 6402 | 0.4054          | 0.9439 |
| 0.0082        | 34.0  | 6596 | 0.4115          | 0.9422 |
| 0.0082        | 35.0  | 6790 | 0.4228          | 0.9430 |
| 0.0082        | 36.0  | 6984 | 0.4165          | 0.9442 |
| 0.0083        | 37.0  | 7178 | 0.4226          | 0.9436 |
| 0.0083        | 38.0  | 7372 | 0.4262          | 0.9430 |
| 0.0071        | 39.0  | 7566 | 0.4231          | 0.9436 |
| 0.0071        | 40.0  | 7760 | 0.4251          | 0.9439 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0