---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-finetuned-c_zh-to-m_zh
  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. -->

# t5-base-finetuned-c_zh-to-m_zh

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1259
- Bleu: 86.7906
- Gen Len: 7.5595

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 234  | 0.1445          | 86.8464 | 7.5788  |
| No log        | 2.0   | 468  | 0.1357          | 86.5266 | 7.6088  |
| 0.194         | 3.0   | 702  | 0.1317          | 86.8389 | 7.5756  |
| 0.194         | 4.0   | 936  | 0.1302          | 87.0248 | 7.5648  |
| 0.1428        | 5.0   | 1170 | 0.1372          | 85.5082 | 7.686   |
| 0.1428        | 6.0   | 1404 | 0.1297          | 86.3936 | 7.612   |
| 0.1328        | 7.0   | 1638 | 0.1273          | 86.7919 | 7.5745  |
| 0.1328        | 8.0   | 1872 | 0.1266          | 86.7919 | 7.5745  |
| 0.129         | 9.0   | 2106 | 0.1262          | 86.9787 | 7.5606  |
| 0.129         | 10.0  | 2340 | 0.1256          | 86.882  | 7.5616  |
| 0.1262        | 11.0  | 2574 | 0.1259          | 86.9757 | 7.5616  |
| 0.1262        | 12.0  | 2808 | 0.1255          | 86.8843 | 7.5595  |
| 0.1262        | 13.0  | 3042 | 0.1257          | 86.9322 | 7.5584  |
| 0.1262        | 14.0  | 3276 | 0.1256          | 87.0674 | 7.5563  |
| 0.1238        | 15.0  | 3510 | 0.1259          | 86.7906 | 7.5595  |


### Framework versions

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