---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data
  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-2308_sample-10_epoch_best_data

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: 0.3044

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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 58   | 0.3799          |
| No log        | 2.0   | 116  | 0.3286          |
| No log        | 3.0   | 174  | 0.3129          |
| No log        | 4.0   | 232  | 0.3105          |
| No log        | 5.0   | 290  | 0.3104          |
| No log        | 6.0   | 348  | 0.3064          |
| No log        | 7.0   | 406  | 0.3045          |
| No log        | 8.0   | 464  | 0.3049          |
| 0.3309        | 9.0   | 522  | 0.3044          |
| 0.3309        | 10.0  | 580  | 0.3054          |


### Framework versions

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