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flan-t5-large-extraction-all-dm_2000-ep10-nonstop
Zekunli/flan-t5-large-extraction-all-dm_2000-ep10-nonstop
flan-t5-large-extraction-all-dm_2000-ep10-nonstop 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Apr 16, 2023
- Updated
- Apr 17, 2023
- SHA
- aa6fc9b5
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-extraction-all-dm_2000-ep10-nonstop
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6131
- Hint Hit Num: 2.4754
- Hint Precision: 0.4686
- Num: 5.2796
- Gen Len: 18.5498
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: 96
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.2839 | 1.2 | 200 | 1.6280 | 2.639 | 0.4798 | 5.535 | 18.8242 |
| 2.0028 | 2.4 | 400 | 1.5794 | 2.6424 | 0.478 | 5.5434 | 18.8458 |
| 1.8677 | 3.59 | 600 | 1.5796 | 2.543 | 0.4677 | 5.444 | 18.7314 |
| 1.8106 | 4.79 | 800 | 1.5944 | 2.4596 | 0.4624 | 5.3132 | 18.62 |
| 1.7414 | 5.99 | 1000 | 1.5957 | 2.4998 | 0.4721 | 5.299 | 18.5504 |
| 1.6858 | 7.19 | 1200 | 1.6058 | 2.4596 | 0.4643 | 5.2926 | 18.5856 |
| 1.6744 | 8.38 | 1400 | 1.6113 | 2.4936 | 0.4668 | 5.333 | 18.5994 |
| 1.6563 | 9.58 | 1600 | 1.6130 | 2.4752 | 0.4685 | 5.2802 | 18.548 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 16, 2023
- Updated
- Apr 17, 2023