Downloads · 30 days
92
21% of all-time downloads
t5-small-finetuned-xsum-xlsum
fanzru/t5-small-finetuned-xsum-xlsum
t5-small-finetuned-xsum-xlsum is a machine learning model from fanzru. 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. --
All-time downloads
445
Public
Repo size
31 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin242 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 5, 2022
- Updated
- Dec 6, 2022
- SHA
- 354bdb2a
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-small-finetuned-xsum-xlsum
This model is a fine-tuned version of t5-small on the scientific_papers dataset. It achieves the following results on the evaluation set:
- Loss: 1.9963
- Rouge1: 14.3541
- Rouge2: 6.1674
- Rougel: 12.2975
- Rougelsum: 13.2515
- Gen Len: 19.0
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.3055 | 1.0 | 7496 | 2.0773 | 14.3312 | 6.153 | 12.2551 | 13.2033 | 19.0 |
| 2.2512 | 2.0 | 14992 | 2.0330 | 14.3048 | 6.1346 | 12.2343 | 13.1992 | 19.0 |
| 2.2034 | 3.0 | 22488 | 2.0106 | 14.3866 | 6.1752 | 12.3205 | 13.2743 | 19.0 |
| 2.2054 | 4.0 | 29984 | 2.0004 | 14.3629 | 6.167 | 12.2928 | 13.2506 | 19.0 |
| 2.1944 | 5.0 | 37480 | 1.9963 | 14.3541 | 6.1674 | 12.2975 | 13.2515 | 19.0 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 5, 2022
- Updated
- Dec 6, 2022