---
library_name: transformers
license: mit
base_model: vinai/phobert-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: pholarge
  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. -->

# pholarge

This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2752
- F1: 0.9361

## 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: 24
- eval_batch_size: 24
- 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.3094        | 1.0   | 1033  | 0.2295          | 0.9327 |
| 0.2346        | 2.0   | 2066  | 0.2651          | 0.9280 |
| 0.2359        | 3.0   | 3099  | 0.2357          | 0.9338 |
| 0.1734        | 4.0   | 4132  | 0.2720          | 0.9277 |
| 0.1551        | 5.0   | 5165  | 0.2940          | 0.9350 |
| 0.1282        | 6.0   | 6198  | 0.2752          | 0.9361 |
| 0.1208        | 7.0   | 7231  | 0.3137          | 0.9347 |
| 0.1074        | 8.0   | 8264  | 0.2967          | 0.9355 |
| 0.2719        | 9.0   | 9297  | 0.8269          | 0.6410 |
| 0.8456        | 10.0  | 10330 | 0.8220          | 0.6410 |
| 0.84          | 11.0  | 11363 | 0.8212          | 0.6410 |
| 0.841         | 12.0  | 12396 | 0.8207          | 0.6410 |
| 0.8383        | 13.0  | 13429 | 0.8198          | 0.6410 |
| 0.8371        | 14.0  | 14462 | 0.8276          | 0.6410 |
| 0.8486        | 15.0  | 15495 | 0.8244          | 0.6410 |
| 0.844         | 16.0  | 16528 | 0.8391          | 0.6410 |
| 0.837         | 17.0  | 17561 | 0.8235          | 0.6410 |
| 0.8438        | 18.0  | 18594 | 0.8247          | 0.6410 |
| 0.8418        | 19.0  | 19627 | 0.8237          | 0.6410 |
| 0.8384        | 20.0  | 20660 | 0.8199          | 0.6410 |
| 0.8387        | 21.0  | 21693 | 0.8226          | 0.6410 |
| 0.8478        | 22.0  | 22726 | 0.8205          | 0.6410 |
| 0.8364        | 23.0  | 23759 | 0.8259          | 0.6410 |
| 0.8325        | 24.0  | 24792 | 0.8245          | 0.6410 |
| 0.8289        | 25.0  | 25825 | 0.8248          | 0.6410 |
| 0.8251        | 26.0  | 26858 | 0.8247          | 0.6410 |
| 0.824         | 27.0  | 27891 | 0.8214          | 0.6410 |
| 0.8197        | 28.0  | 28924 | 0.8282          | 0.6410 |
| 0.8241        | 29.0  | 29957 | 0.8340          | 0.6410 |
| 0.8285        | 30.0  | 30990 | 0.8360          | 0.6410 |
| 0.8169        | 31.0  | 32023 | 0.8401          | 0.6410 |
| 0.811         | 32.0  | 33056 | 0.8534          | 0.6410 |
| 0.8056        | 33.0  | 34089 | 0.8690          | 0.6410 |
| 0.8023        | 34.0  | 35122 | 0.8640          | 0.6410 |
| 0.8146        | 35.0  | 36155 | 0.8704          | 0.6410 |
| 0.8079        | 36.0  | 37188 | 0.8959          | 0.6410 |
| 0.8081        | 37.0  | 38221 | 0.8802          | 0.6410 |
| 0.8059        | 38.0  | 39254 | 0.8901          | 0.6410 |
| 0.8045        | 39.0  | 40287 | 0.8882          | 0.6410 |
| 0.8024        | 40.0  | 41320 | 0.8918          | 0.6410 |


### Framework versions

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