---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: en2zh_opus_100
  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: 12.9203
---

<!-- 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. -->

# en2zh_opus_100

This model is a fine-tuned version of [HAJIWEE/en2zh_opus_100](https://huggingface.co/HAJIWEE/en2zh_opus_100) on the opus100 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0799
- Bleu: 12.9203
- Gen Len: 15.2965

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 2.6252        | 1.0   | 166667 | 2.1221          | 12.7341 | 15.3295 |
| 2.5579        | 2.0   | 333334 | 2.0799          | 12.9203 | 15.2965 |


### Framework versions

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