Downloads · 30 days
6
33% of all-time downloads
test_sum_abs_t5_small_wasa_stops
InfinityC/test_sum_abs_t5_small_wasa_stops
test_sum_abs_t5_small_wasa_stops is a machine learning model from InfinityC. 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
18
Public
Parameters
60.5M
3.6 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
- May 9, 2024
- Updated
- May 9, 2024
- SHA
- 348a2bdd
Base models
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. -->
test_sum_abs_t5_small_wasa_stops
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8601
- Rouge1: 0.3823
- Rouge2: 0.2702
- Rougel: 0.3451
- Rougelsum: 0.3454
- Gen Len: 18.9864
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 |
|---|---|---|---|---|---|---|---|---|
| 1.0591 | 1.0 | 1764 | 0.9275 | 0.3767 | 0.2652 | 0.3403 | 0.3404 | 18.9787 |
| 0.9758 | 2.0 | 3528 | 0.8813 | 0.3817 | 0.2702 | 0.3448 | 0.345 | 18.9819 |
| 0.9575 | 3.0 | 5292 | 0.8648 | 0.3818 | 0.2692 | 0.3445 | 0.3446 | 18.987 |
| 0.9435 | 4.0 | 7056 | 0.8601 | 0.3823 | 0.2702 | 0.3451 | 0.3454 | 18.9864 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 9, 2024
- Updated
- May 9, 2024