---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- load_train
metrics:
- accuracy
model-index:
- name: thucnews
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: load_train
      type: load_train
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9433
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# thucnews

This model is a fine-tuned version of [hfl/rbt6](https://huggingface.co/hfl/rbt6) on the load_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3191
- Accuracy: 0.9433

## 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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2038        | 1.0   | 704  | 0.2018          | 0.9332   |
| 0.1403        | 2.0   | 1408 | 0.1829          | 0.9406   |
| 0.0894        | 3.0   | 2112 | 0.2073          | 0.9419   |
| 0.056         | 4.0   | 2816 | 0.2228          | 0.9408   |
| 0.0321        | 5.0   | 3520 | 0.2689          | 0.9417   |
| 0.0209        | 6.0   | 4224 | 0.2819          | 0.9431   |
| 0.0099        | 7.0   | 4928 | 0.3131          | 0.9421   |
| 0.0057        | 8.0   | 5632 | 0.3191          | 0.9433   |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1