---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mbert_zhth
  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. -->

# mbert_zhth

This model is a fine-tuned version of [../mbert_zhth/](https://huggingface.co/../mbert_zhth/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4626
- Accuracy: 0.7125

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.12.0
- Tokenizers 0.13.3