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---
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
|