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flan-t5-large-extraction-all-cnn_2000-ep2-nonstop
Zekunli/flan-t5-large-extraction-all-cnn_2000-ep2-nonstop
flan-t5-large-extraction-all-cnn_2000-ep2-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 17, 2023
- Updated
- Apr 17, 2023
- SHA
- 97f3eeb3
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-cnn_2000-ep2-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: 1.8028
- Hint Hit Num: 1.841
- Hint Precision: 0.3235
- Num: 5.707
- 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: 128
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.2503 | 0.8 | 100 | 1.8351 | 1.81 | 0.316 | 5.759 | 18.995 |
| 1.9934 | 1.6 | 200 | 1.8066 | 1.884 | 0.3278 | 5.775 | 19.0 |
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 17, 2023
- Updated
- Apr 17, 2023