Downloads · 30 days
10
32% of all-time downloads
test-dialogue-summarization
wenjing1205/test-dialogue-summarization
test-dialogue-summarization is a machine learning model from wenjing1205. 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
31
Public
Parameters
248M
2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors990 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jan 15, 2024
- Updated
- Jan 15, 2024
- SHA
- f768c4c6
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-dialogue-summarization
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0710
- Rouge: {'rouge1': 46.5916, 'rouge2': 21.9208, 'rougeL': 22.0124, 'rougeLsum': 22.0124}
- Bert Score: 0.8784
- Bleurt 20: -0.7903
- Gen Len: 15.58
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: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge | Bert Score | Bleurt 20 | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.5288 | 1.0 | 186 | 2.1809 | {'rouge1': 48.087, 'rouge2': 21.7173, 'rougeL': 21.5447, 'rougeLsum': 21.5447} | 0.877 | -0.8143 | 15.63 |
| 2.3277 | 2.0 | 372 | 2.1230 | {'rouge1': 47.3856, 'rouge2': 21.3069, 'rougeL': 21.6399, 'rougeLsum': 21.6399} | 0.8788 | -0.786 | 15.54 |
| 2.2381 | 3.0 | 558 | 2.0912 | {'rouge1': 45.9843, 'rouge2': 21.1854, 'rougeL': 21.4006, 'rougeLsum': 21.4006} | 0.8776 | -0.817 | 15.235 |
| 2.2123 | 4.0 | 744 | 2.0761 | {'rouge1': 46.5269, 'rouge2': 21.7291, 'rougeL': 21.8936, 'rougeLsum': 21.8936} | 0.8785 | -0.7809 | 15.515 |
| 2.2443 | 5.0 | 930 | 2.0710 | {'rouge1': 46.5916, 'rouge2': 21.9208, 'rougeL': 22.0124, 'rougeLsum': 22.0124} | 0.8784 | -0.7903 | 15.58 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 15, 2024
- Updated
- Jan 15, 2024