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t5-newVersion_Jhon_Wick
Seungjun/t5-newVersion_Jhon_Wick
t5-newVersion_Jhon_Wick is a machine learning model from Seungjun. 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 2, 2023
- Updated
- Apr 2, 2023
- SHA
- f9f1266c
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-newVersion_Jhon_Wick
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4886
- Rouge1: 48.6605
- Rouge2: 24.9693
- Rougel: 37.3383
- Rougelsum: 45.588
- Gen Len: 78.5668
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9661 | 1.0 | 765 | 1.6090 | 45.3876 | 22.2762 | 34.7559 | 42.3201 | 76.2048 |
| 1.7525 | 2.0 | 1530 | 1.5620 | 46.6776 | 23.2287 | 35.6355 | 43.5005 | 79.2035 |
| 1.7231 | 3.0 | 2295 | 1.5360 | 47.5061 | 23.9061 | 36.2823 | 44.3393 | 78.8096 |
| 1.6819 | 4.0 | 3060 | 1.5188 | 47.9422 | 24.3479 | 36.7844 | 44.8047 | 78.6368 |
| 1.6704 | 5.0 | 3825 | 1.5086 | 48.2693 | 24.6015 | 36.9681 | 45.1561 | 78.3357 |
| 1.6481 | 6.0 | 4590 | 1.5003 | 48.4714 | 24.7449 | 37.1888 | 45.3465 | 77.8874 |
| 1.6505 | 7.0 | 5355 | 1.4954 | 48.4435 | 24.8279 | 37.2272 | 45.3858 | 77.9686 |
| 1.6331 | 8.0 | 6120 | 1.4914 | 48.5349 | 24.9022 | 37.2725 | 45.4888 | 78.1754 |
| 1.6274 | 9.0 | 6885 | 1.4892 | 48.6537 | 24.9567 | 37.3426 | 45.5884 | 78.1263 |
| 1.6215 | 10.0 | 7650 | 1.4886 | 48.6605 | 24.9693 | 37.3383 | 45.588 | 78.5668 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 2, 2023
- Updated
- Apr 2, 2023