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T5_base_wmt14_En_Fr_1million
sriram-sanjeev9s/T5_base_wmt14_En_Fr_1million
T5_base_wmt14_En_Fr_1million is a machine learning model from sriram-sanjeev9s. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024
- SHA
- 1a34a114
Base models
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. -->
T5_base_wmt14_En_Fr_1million
This model is a fine-tuned version of google-t5/t5-base on the wmt14 dataset. It achieves the following results on the evaluation set:
- Loss: 1.9945
- Bleu: 8.5002
- Gen Len: 18.0143
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: 0.001
- train_batch_size: 60
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.9735 | 1.0 | 1667 | 1.1059 | 9.3433 | 17.994 |
| 0.8671 | 2.0 | 3334 | 1.1192 | 9.3551 | 18.008 |
| 0.7975 | 3.0 | 5001 | 1.1509 | 9.4297 | 17.996 |
| 0.737 | 4.0 | 6668 | 1.1819 | 9.0739 | 18.0223 |
| 0.6746 | 5.0 | 8335 | 1.2076 | 9.1258 | 17.9873 |
| 0.6314 | 6.0 | 10002 | 1.2640 | 9.1364 | 18.0207 |
| 0.5833 | 7.0 | 11669 | 1.2948 | 8.8072 | 17.9907 |
| 0.5349 | 8.0 | 13336 | 1.3525 | 8.8513 | 17.9867 |
| 0.5025 | 9.0 | 15003 | 1.4087 | 8.7599 | 18.0027 |
| 0.4614 | 10.0 | 16670 | 1.4562 | 8.6011 | 18.015 |
| 0.4227 | 11.0 | 18337 | 1.5169 | 8.6315 | 18.018 |
| 0.3938 | 12.0 | 20004 | 1.5842 | 8.6045 | 18.0133 |
| 0.358 | 13.0 | 21671 | 1.6334 | 8.459 | 17.9997 |
| 0.3271 | 14.0 | 23338 | 1.6989 | 8.4979 | 17.9937 |
| 0.3056 | 15.0 | 25005 | 1.7529 | 8.5421 | 18.0357 |
| 0.278 | 16.0 | 26672 | 1.8151 | 8.3963 | 18.0027 |
| 0.2548 | 17.0 | 28339 | 1.8812 | 8.3497 | 18.0193 |
| 0.238 | 18.0 | 30006 | 1.9249 | 8.4306 | 18.0227 |
| 0.223 | 19.0 | 31673 | 1.9742 | 8.5156 | 18.013 |
| 0.2112 | 20.0 | 33340 | 1.9945 | 8.5002 | 18.0143 |
Framework versions
- Transformers 4.32.1
- Pytorch 1.12.1
- Datasets 2.18.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024