---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-phobert-bctn-323_sample-5_epoch_16k_fpt_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# token-classification-llmlingua2-phobert-bctn-323_sample-5_epoch_16k_fpt_v2

This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4848

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.99  | 16   | 0.5426          |
| No log        | 1.98  | 32   | 0.5212          |
| No log        | 2.98  | 48   | 0.4992          |
| No log        | 3.97  | 64   | 0.4895          |
| No log        | 4.96  | 80   | 0.4848          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2