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t5-base-extraction-cnndm_fs0.05-all
Zekunli/t5-base-extraction-cnndm_fs0.05-all
t5-base-extraction-cnndm_fs0.05-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. 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
- Jan 31, 2023
- Updated
- Feb 1, 2023
- SHA
- c20ec3c7
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_fs0.05-all
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7605
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: 32
- eval_batch_size: 32
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3409 | 0.45 | 200 | 1.9264 |
| 2.0082 | 0.9 | 400 | 1.8570 |
| 1.9247 | 1.35 | 600 | 1.8290 |
| 1.8895 | 1.81 | 800 | 1.8162 |
| 1.8625 | 2.26 | 1000 | 1.8015 |
| 1.8354 | 2.71 | 1200 | 1.7894 |
| 1.8013 | 3.16 | 1400 | 1.7824 |
| 1.7901 | 3.61 | 1600 | 1.7796 |
| 1.7769 | 4.06 | 1800 | 1.7807 |
| 1.7661 | 4.51 | 2000 | 1.7646 |
| 1.7536 | 4.97 | 2200 | 1.7605 |
| 1.9045 | 5.42 | 2400 | 2.1358 |
| 2.4322 | 5.87 | 2600 | 2.3688 |
| 2.4809 | 6.32 | 2800 | 2.3622 |
| 2.4628 | 6.77 | 3000 | 2.3625 |
| 2.4676 | 7.22 | 3200 | 2.3639 |
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
- Jan 31, 2023
- Updated
- Feb 1, 2023