---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chinese-lert-large-ling-cls
  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. -->

# chinese-lert-large-ling-cls

This model is a fine-tuned version of [hfl/chinese-lert-large](https://huggingface.co./hfl/chinese-lert-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4531
- Accuracy: 0.7822
- Test Accuracy: 0.8102

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5082        | 1.0   | 1008 | 0.5476          | 0.7601   |
| 0.3669        | 2.0   | 2017 | 0.5202          | 0.7978   |
| 0.2006        | 3.0   | 3025 | 0.8294          | 0.7748   |
| 0.0954        | 4.0   | 4034 | 1.2630          | 0.7931   |
| 0.0447        | 5.0   | 5040 | 1.4531          | 0.7822   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.11.6