---
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: zh2en_opus_100_t5
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus100
      type: opus100
      config: en-zh
      split: test
      args: en-zh
    metrics:
    - name: Bleu
      type: bleu
      value: 3.9852
---

<!-- 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. -->

# zh2en_opus_100_t5

This model is a fine-tuned version of [HAJIWEE/zh2en_opus_100_t5](https://huggingface.co/HAJIWEE/zh2en_opus_100_t5) on the opus100 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6166
- Bleu: 3.9852
- Gen Len: 15.8015

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 2.7037        | 1.0   | 166667 | 2.6341          | 4.0036 | 16.174  |
| 2.74          | 2.0   | 333334 | 2.6166          | 3.9852 | 15.8015 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3