zh2en_opus_100_t5
This model is a fine-tuned version of 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
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Dataset used to train HAJIWEE/zh2en_opus_100_t5
Evaluation results
- Bleu on opus100test set self-reported3.985