Downloads · 30 days
13
30% of all-time downloads
my_awesome_billsum_model_custom_key
floriancaro/my_awesome_billsum_model_custom_key
my_awesome_billsum_model_custom_key is a machine learning model from floriancaro. 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
43
Public
Repo size
485 MB
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
- Jan 4, 2023
- Updated
- Jan 4, 2023
- SHA
- c1b5f92f
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. -->
my_awesome_billsum_model_custom_key
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5689
- Rouge1: 0.1384
- Rouge2: 0.0474
- Rougel: 0.1132
- Rougelsum: 0.1134
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.8725 | 0.138 | 0.0449 | 0.1127 | 0.1127 | 19.0 |
| No log | 2.0 | 124 | 2.6478 | 0.1276 | 0.0387 | 0.105 | 0.1052 | 19.0 |
| No log | 3.0 | 186 | 2.5846 | 0.1343 | 0.0429 | 0.1088 | 0.109 | 19.0 |
| No log | 4.0 | 248 | 2.5689 | 0.1384 | 0.0474 | 0.1132 | 0.1134 | 19.0 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 4, 2023
- Updated
- Jan 4, 2023