Downloads · 30 days
74
5% of all-time downloads
zh2en_opus_100_t5
HAJIWEE/zh2en_opus_100_t5
zh2en_opus_100_t5 is a machine learning model from HAJIWEE. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.4K
Public
Repo size
603 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin892 MB · 100%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Apr 11, 2023
- Updated
- Apr 16, 2023
- SHA
- e58f222e
Datasets
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- transformers
- Type
- t5
- Created
- Apr 11, 2023
- Updated
- Apr 16, 2023