---
library_name: transformers
license: mit
base_model: vinai/phobert-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: phobert_classification
  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_classification

This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3677
- F1: 0.9408

## 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: 64
- eval_batch_size: 64
- 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   | 388   | 0.2170          | 0.9252 |
| 0.3098        | 2.0   | 776   | 0.2119          | 0.9369 |
| 0.1763        | 3.0   | 1164  | 0.2023          | 0.9330 |
| 0.1286        | 4.0   | 1552  | 0.2606          | 0.9344 |
| 0.1286        | 5.0   | 1940  | 0.2378          | 0.9391 |
| 0.0943        | 6.0   | 2328  | 0.2651          | 0.9336 |
| 0.0706        | 7.0   | 2716  | 0.2986          | 0.9366 |
| 0.0626        | 8.0   | 3104  | 0.3168          | 0.9305 |
| 0.0626        | 9.0   | 3492  | 0.3020          | 0.9358 |
| 0.0515        | 10.0  | 3880  | 0.3062          | 0.9366 |
| 0.0397        | 11.0  | 4268  | 0.3487          | 0.9344 |
| 0.0337        | 12.0  | 4656  | 0.4043          | 0.9291 |
| 0.031         | 13.0  | 5044  | 0.3779          | 0.9366 |
| 0.031         | 14.0  | 5432  | 0.3934          | 0.9294 |
| 0.0266        | 15.0  | 5820  | 0.3677          | 0.9408 |
| 0.0246        | 16.0  | 6208  | 0.3874          | 0.9355 |
| 0.0222        | 17.0  | 6596  | 0.4257          | 0.9344 |
| 0.0222        | 18.0  | 6984  | 0.4372          | 0.9369 |
| 0.022         | 19.0  | 7372  | 0.4408          | 0.9363 |
| 0.0176        | 20.0  | 7760  | 0.4601          | 0.9358 |
| 0.0142        | 21.0  | 8148  | 0.4503          | 0.9361 |
| 0.0134        | 22.0  | 8536  | 0.4835          | 0.9366 |
| 0.0134        | 23.0  | 8924  | 0.4594          | 0.9391 |
| 0.0126        | 24.0  | 9312  | 0.4809          | 0.9366 |
| 0.0109        | 25.0  | 9700  | 0.4859          | 0.9369 |
| 0.012         | 26.0  | 10088 | 0.4824          | 0.9386 |
| 0.012         | 27.0  | 10476 | 0.5067          | 0.9361 |
| 0.0101        | 28.0  | 10864 | 0.4870          | 0.9375 |
| 0.0102        | 29.0  | 11252 | 0.5302          | 0.9355 |
| 0.0088        | 30.0  | 11640 | 0.4953          | 0.9366 |
| 0.0093        | 31.0  | 12028 | 0.4914          | 0.9361 |
| 0.0093        | 32.0  | 12416 | 0.5014          | 0.9389 |
| 0.0084        | 33.0  | 12804 | 0.5026          | 0.9383 |
| 0.0078        | 34.0  | 13192 | 0.5043          | 0.9380 |
| 0.0075        | 35.0  | 13580 | 0.5035          | 0.9377 |
| 0.0075        | 36.0  | 13968 | 0.5007          | 0.9377 |
| 0.0077        | 37.0  | 14356 | 0.5102          | 0.9377 |
| 0.0076        | 38.0  | 14744 | 0.5069          | 0.9391 |
| 0.0059        | 39.0  | 15132 | 0.5105          | 0.9386 |
| 0.0071        | 40.0  | 15520 | 0.5111          | 0.9383 |


### Framework versions

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