---
base_model: bert-base-chinese
tags:
- generated_from_trainer
model-index:
- name: bert_tnew_cls
  results: []
---

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# bert_tnew_cls

This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2489

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.3125 | 10   | 2.8092          |
| No log        | 0.625  | 20   | 2.8664          |
| No log        | 0.9375 | 30   | 2.8930          |
| No log        | 1.25   | 40   | 3.0741          |
| No log        | 1.5625 | 50   | 3.1788          |
| No log        | 1.875  | 60   | 3.2591          |
| No log        | 2.1875 | 70   | 3.2654          |
| No log        | 2.5    | 80   | 3.2536          |
| No log        | 2.8125 | 90   | 3.2486          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1