---
library_name: transformers
license: apache-2.0
base_model: bert-base-chinese
tags:
- generated_from_trainer
model-index:
- name: EasyCard
  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. -->

# EasyCard

This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0046

## 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: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 0.0792          |
| 0.4505        | 2.0   | 10   | 0.0441          |
| 0.4505        | 3.0   | 15   | 0.0246          |
| 0.1388        | 4.0   | 20   | 0.0155          |
| 0.1388        | 5.0   | 25   | 0.0098          |
| 0.0600        | 6.0   | 30   | 0.0075          |
| 0.0600        | 7.0   | 35   | 0.0087          |
| 0.0358        | 8.0   | 40   | 0.0065          |
| 0.0358        | 9.0   | 45   | 0.0050          |
| 0.0260        | 10.0  | 50   | 0.0046          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2