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t5-wmt16-ro-en
wonjeongho/t5-wmt16-ro-en
t5-wmt16-ro-en is a text generation model from wonjeongho. Use it when you need the model to write or continue text. 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
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- elastic_t5
- Access
- Public
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024
- SHA
- 1eff85d4
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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
This model is a fine-tuned version of t5-small on the wmt16 ro-en dataset. It achieves the following results on the evaluation set:
- Loss: 1.3574
- Bleu: 27.1318
- Gen Len: 42.5798
- Loss Smallest Subnet: 1.3574
- Bleu Smallest Subnet: 27.1318
- Gen Len Smallest Subnet: 42.5798
- Loss Random Subnet: 1.3574
- Loss Sum: 4.0723
- Bleu Random Subnet: 27.1318
- Bleu Sum: 81.3954
- Gen Len Random Subnet: 42.5798
- Gen Len Sum: 127.7394
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: 5e-05
- train_batch_size: 12
- eval_batch_size: 24
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 48
- total_eval_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | Loss Smallest Subnet | Bleu Smallest Subnet | Gen Len Smallest Subnet | Loss Random Subnet | Loss Sum | Bleu Random Subnet | Bleu Sum | Gen Len Random Subnet | Gen Len Sum |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5967 | 1.0 | 12715 | 1.3820 | 26.593 | 42.4422 | 1.3820 | 26.593 | 42.4422 | 1.3820 | 4.1461 | 26.593 | 79.779 | 42.4422 | 127.3266 |
| 0.5768 | 2.0 | 25430 | 1.3728 | 26.6191 | 42.6738 | 1.3728 | 26.6191 | 42.6738 | 1.3728 | 4.1184 | 26.6191 | 79.8573 | 42.6738 | 128.0214 |
| 0.5663 | 3.0 | 38145 | 1.3616 | 26.9203 | 42.5298 | 1.3616 | 26.9203 | 42.5298 | 1.3616 | 4.0849 | 26.9203 | 80.7609 | 42.5298 | 127.5894 |
| 0.5523 | 4.0 | 50860 | 1.3570 | 27.0195 | 42.5203 | 1.3570 | 27.0195 | 42.5203 | 1.3570 | 4.0709 | 27.0195 | 81.0585 | 42.5203 | 127.5609 |
| 0.5436 | 5.0 | 63575 | 1.3574 | 27.1318 | 42.5798 | 1.3574 | 27.1318 | 42.5798 | 1.3574 | 4.0723 | 27.1318 | 81.3954 | 42.5798 | 127.7394 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.8.0
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Generation
- Library
- transformers
- Type
- elastic_t5
- License
- apache-2.0
- Languages
- en, ro
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024