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flan-t5-large-extraction-cnndm_2000-summary
Zekunli/flan-t5-large-extraction-cnndm_2000-summary
flan-t5-large-extraction-cnndm_2000-summary 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
- Feb 17, 2023
- Updated
- Feb 17, 2023
- SHA
- 96f37729
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-cnndm_2000-summary
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: 1.7295
- Rouge1: 27.984
- Rouge2: 11.9662
- Rougel: 25.9999
- Rougelsum: 26.0222
- Gen Len: 18.962
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.1425 | 0.8 | 200 | 1.7841 | 27.3288 | 11.2913 | 25.3127 | 25.3298 | 18.958 |
| 1.8911 | 1.6 | 400 | 1.7508 | 28.4085 | 12.3877 | 26.3391 | 26.374 | 18.98 |
| 1.7625 | 2.4 | 600 | 1.7295 | 27.984 | 11.9662 | 25.9999 | 26.0222 | 18.962 |
| 1.7011 | 3.2 | 800 | 1.7338 | 28.5793 | 12.578 | 26.6817 | 26.7064 | 18.974 |
| 1.6198 | 4.0 | 1000 | 1.7298 | 28.7805 | 12.8467 | 26.6043 | 26.6578 | 18.992 |
| 1.5813 | 4.8 | 1200 | 1.7331 | 28.305 | 12.1954 | 26.1588 | 26.1865 | 18.984 |
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
- Feb 17, 2023
- Updated
- Feb 17, 2023