---
base_model: nhanpv/phobert-v2-finetuned-timi
tags:
- generated_from_trainer
model-index:
- name: phobert-v2-finetuned-timi
  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-v2-finetuned-timi

This model is a fine-tuned version of [nhanpv/phobert-v2-finetuned-timi](https://huggingface.co/nhanpv/phobert-v2-finetuned-timi) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0430

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3847        | 1.0   | 129  | 1.1946          |
| 1.3808        | 2.0   | 258  | 1.1687          |
| 1.3896        | 3.0   | 387  | 1.1924          |
| 1.3737        | 4.0   | 516  | 1.1528          |
| 1.3285        | 5.0   | 645  | 1.0942          |
| 1.3244        | 6.0   | 774  | 1.1055          |
| 1.2762        | 7.0   | 903  | 1.0649          |
| 1.251         | 8.0   | 1032 | 1.0397          |
| 1.2462        | 9.0   | 1161 | 1.0636          |
| 1.2425        | 10.0  | 1290 | 1.0430          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3