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t5-base-extraction-cnndm_10000-all
Zekunli/t5-base-extraction-cnndm_10000-all
t5-base-extraction-cnndm_10000-all 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. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023
- SHA
- 47d40ed3
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. -->
t5-base-extraction-cnndm_10000-all
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8182
- Rouge1: 33.8286
- Rouge2: 14.4919
- Rougel: 28.8935
- Rougelsum: 28.9581
- 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: 24
- eval_batch_size: 48
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.9662 | 0.48 | 200 | 1.9092 | 33.2564 | 14.236 | 28.2044 | 28.3269 | 18.992 |
| 1.9495 | 0.96 | 400 | 1.8775 | 33.7516 | 14.2246 | 28.9019 | 28.9507 | 19.0 |
| 1.9062 | 1.44 | 600 | 1.8580 | 33.7533 | 14.2196 | 28.3873 | 28.4658 | 19.0 |
| 1.8713 | 1.92 | 800 | 1.8496 | 33.6921 | 14.4532 | 28.5695 | 28.6573 | 19.0 |
| 1.85 | 2.4 | 1000 | 1.8327 | 34.1551 | 14.7671 | 28.9492 | 28.9885 | 19.0 |
| 1.8232 | 2.88 | 1200 | 1.8182 | 33.8286 | 14.4919 | 28.8935 | 28.9581 | 19.0 |
| 1.8004 | 3.36 | 1400 | 1.8299 | 34.5099 | 14.8659 | 29.1119 | 29.1544 | 19.0 |
| 1.7832 | 3.84 | 1600 | 1.8252 | 34.5877 | 15.1259 | 29.3368 | 29.3638 | 19.0 |
| 1.7677 | 4.32 | 1800 | 1.8226 | 34.4487 | 15.0361 | 29.2962 | 29.3431 | 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
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023