---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: phobert_product_classifier
  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_product_classifier

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0903
- Accuracy: 0.8186

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6217        | 1.0   | 979  | 0.8925          | 0.7543   |
| 0.7822        | 2.0   | 1958 | 0.8323          | 0.7783   |
| 0.5761        | 3.0   | 2937 | 0.7874          | 0.7862   |
| 0.4518        | 4.0   | 3916 | 0.7734          | 0.8031   |
| 0.3516        | 5.0   | 4895 | 0.8313          | 0.8026   |
| 0.2591        | 6.0   | 5874 | 0.8730          | 0.8095   |
| 0.1789        | 7.0   | 6853 | 0.9955          | 0.8089   |
| 0.1235        | 8.0   | 7832 | 1.0196          | 0.8179   |
| 0.0832        | 9.0   | 8811 | 1.0750          | 0.8174   |
| 0.0644        | 10.0  | 9790 | 1.0903          | 0.8186   |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0