---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: cls-comment-phobert-base-v2-v3.1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cls-comment-phobert-base-v2-v3.1

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:
- eval_loss: 0.7125
- eval_accuracy: 0.9121
- eval_f1_score: 0.8764
- eval_recall: 0.8800
- eval_precision: 0.8756
- eval_runtime: 6.6382
- eval_samples_per_second: 548.19
- eval_steps_per_second: 8.587
- epoch: 28.07
- step: 3200

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4000
- label_smoothing_factor: 0.1

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2