Downloads · 30 days
8
2% of all-time downloads
mt5-small-finetuned-no-email-summary
tevosianv/mt5-small-finetuned-no-email-summary
mt5-small-finetuned-no-email-summary is a summarization model from tevosianv. Use it when you need a shorter version of a longer 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. --
All-time downloads
483
Public
Repo size
24.1 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin1.2 GB · 98%
At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Apr 23, 2023
- Updated
- Apr 24, 2023
- SHA
- dd4dec73
Try a prompt
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. -->
mt5-small-finetuned-no-email-summary
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2815
- Rouge1: 44.0759
- Rouge2: 29.0229
- Rougel: 41.8945
- Rougelsum: 41.801
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 10.2054 | 1.0 | 417 | 2.3095 | 19.097 | 8.5001 | 17.7548 | 17.7829 |
| 3.1624 | 2.0 | 834 | 1.6965 | 30.9222 | 16.6468 | 28.3312 | 28.3229 |
| 2.4529 | 3.0 | 1251 | 1.5142 | 34.9498 | 20.327 | 32.1027 | 32.0904 |
| 2.19 | 4.0 | 1668 | 1.4286 | 40.0996 | 25.4238 | 38.1114 | 38.0192 |
| 2.0096 | 5.0 | 2085 | 1.3853 | 42.2543 | 27.8126 | 40.5722 | 40.4353 |
| 1.8849 | 6.0 | 2502 | 1.3377 | 42.9442 | 28.4625 | 41.1796 | 41.132 |
| 1.8099 | 7.0 | 2919 | 1.3008 | 43.2106 | 28.327 | 41.3598 | 41.3596 |
| 1.7495 | 8.0 | 3336 | 1.2961 | 43.1156 | 27.8989 | 40.9504 | 40.8745 |
| 1.7354 | 9.0 | 3753 | 1.2817 | 44.3051 | 29.1231 | 42.13 | 42.0315 |
| 1.6907 | 10.0 | 4170 | 1.2815 | 44.0759 | 29.0229 | 41.8945 | 41.801 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1
- Datasets 2.11.0
- Tokenizers 0.13.0.dev0
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Apr 23, 2023
- Updated
- Apr 24, 2023