---
license: gpl-3.0
base_model: ckiplab/bert-base-chinese
tags:
- generated_from_trainer
model-index:
- name: clip-DIT-finetuned_one_text_to_train
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/shark_meow_team/huggingface/runs/mqbvpy21)
# clip-DIT-finetuned_one_text_to_train

This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3237

## 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: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.479         | 20.0  | 780  | 2.5238          |
| 0.5415        | 40.0  | 1560 | 1.9513          |
| 0.1937        | 60.0  | 2340 | 1.6752          |
| 0.1072        | 80.0  | 3120 | 1.5576          |
| 0.0722        | 100.0 | 3900 | 1.4878          |
| 0.0542        | 120.0 | 4680 | 1.4187          |
| 0.0433        | 140.0 | 5460 | 1.3938          |
| 0.0376        | 160.0 | 6240 | 1.3544          |
| 0.0333        | 180.0 | 7020 | 1.3325          |
| 0.0311        | 200.0 | 7800 | 1.3237          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1