Downloads · 30 days
4
2% of all-time downloads
flan-t5-large-da-multiwoz2.1_80-best
Zekunli/flan-t5-large-da-multiwoz2.1_80-best
flan-t5-large-da-multiwoz2.1_80-best is a machine learning model from Zekunli. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
201
Public
Repo size
21.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin3.1 GB · 100%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 1, 2023
- Updated
- Mar 1, 2023
- SHA
- c745dd4f
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. -->
flan-t5-large-da-multiwoz2.1_80
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8698
- Accuracy: 35.5192
- Num: 3689
- Gen Len: 16.1808
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: 8
- eval_batch_size: 24
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num | Gen Len |
|---|---|---|---|---|---|---|
| 0.138 | 2.74 | 200 | 0.7403 | 34.8322 | 3689 | 15.4901 |
| 0.1062 | 5.48 | 400 | 0.7917 | 35.1824 | 3689 | 15.9629 |
| 0.0895 | 8.22 | 600 | 0.8698 | 35.5192 | 3689 | 16.1808 |
| 0.0838 | 10.96 | 800 | 0.8792 | 35.0962 | 3689 | 15.8043 |
| 0.0777 | 13.7 | 1000 | 0.9348 | 34.1583 | 3689 | 16.0843 |
| 0.0814 | 16.44 | 1200 | 0.9443 | 34.9078 | 3689 | 15.8517 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- Created
- Mar 1, 2023
- Updated
- Mar 1, 2023