---
license: apache-2.0
base_model: hfl/chinese-macbert-base
tags:
- generated_from_trainer
datasets:
- clue
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: muliple_choice
  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. -->

# muliple_choice

This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on the clue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3806
- Accuracy: 0.32
- Precision: 0.3720
- Recall: 0.3290
- F1: 0.3290

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 13   | 1.3806          | 0.32     | 0.3720    | 0.3290 | 0.3290 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2