Downloads · 30 days
4
17% of all-time downloads
t5-small-finetuned-xsum
maryantocinn/t5-small-finetuned-xsum
t5-small-finetuned-xsum is a machine learning model from maryantocinn. 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
24
Public
Parameters
60.5M
2.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 4, 2023
- Updated
- Nov 5, 2023
- SHA
- 98eb7340
Base models
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. -->
indobart-v2-finetuned-indosum
This model is a fine-tuned version of t5-small on the indosum dataset. It achieves the following results on the evaluation set:
- Loss: 0.4003
- Rouge1: 21.1743
- Rouge2: 16.867
- Rougel: 20.9061
- Rougelsum: 21.0473
- 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: 12
- eval_batch_size: 12
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.4276 | 1.0 | 1189 | 0.4118 | 21.0508 | 16.7363 | 20.7771 | 20.919 | 19.0 |
| 0.4268 | 2.0 | 2378 | 0.4060 | 21.1694 | 16.852 | 20.891 | 21.0278 | 19.0 |
| 0.4077 | 3.0 | 3567 | 0.4021 | 21.1523 | 16.8553 | 20.8928 | 21.0273 | 19.0 |
| 0.406 | 4.0 | 4756 | 0.4006 | 21.1743 | 16.867 | 20.9061 | 21.0473 | 19.0 |
| 0.4158 | 5.0 | 5945 | 0.4003 | 21.1743 | 16.867 | 20.9061 | 21.0473 | 19.0 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 4, 2023
- Updated
- Nov 5, 2023