Downloads · 30 days
7
13% of all-time downloads
t5-base-finetuned-xsum
Abhishek9998/t5-base-finetuned-xsum
t5-base-finetuned-xsum is a machine learning model from Abhishek9998. 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
53
Public
Repo size
18.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin892 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Apr 21, 2023
- Updated
- Apr 22, 2023
- SHA
- 374f1bab
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-finetuned-xsum
This model is a fine-tuned version of t5-base on the resumes_t2json dataset. It achieves the following results on the evaluation set:
- Loss: 0.5861
- Rouge1: 5.7966
- Rouge2: 3.5884
- Rougel: 5.7799
- Rougelsum: 5.7839
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.2507 | 1.0 | 877 | 0.5862 | 5.7975 | 3.5884 | 5.7804 | 5.7847 | 19.0 |
| 0.7138 | 2.0 | 1754 | 0.5861 | 5.7966 | 3.5884 | 5.7799 | 5.7839 | 19.0 |
| 0.7176 | 3.0 | 2631 | 0.5861 | 5.7966 | 3.5884 | 5.7799 | 5.7839 | 19.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 21, 2023
- Updated
- Apr 22, 2023