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EN_t5-base_15_spider_nosch_baseline
e22vvb/EN_t5-base_15_spider_nosch_baseline
EN_t5-base_15_spider_nosch_baseline is a machine learning model from e22vvb. 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
- Mar 11, 2024
- Updated
- Mar 11, 2024
- SHA
- 5e58a14f
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. -->
EN_t5-base_15_spider_nosch_baseline
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2701
- Rouge2 Precision: 0.6044
- Rouge2 Recall: 0.3938
- Rouge2 Fmeasure: 0.4489
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: 5e-05
- train_batch_size: 30
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 289 | 0.2711 | 0.4655 | 0.3084 | 0.3448 |
| 0.5211 | 2.0 | 578 | 0.2465 | 0.5176 | 0.3427 | 0.3867 |
| 0.5211 | 3.0 | 867 | 0.2401 | 0.5392 | 0.3538 | 0.4 |
| 0.1603 | 4.0 | 1156 | 0.2421 | 0.5772 | 0.3821 | 0.4311 |
| 0.1603 | 5.0 | 1445 | 0.2444 | 0.5863 | 0.3871 | 0.4375 |
| 0.1161 | 6.0 | 1734 | 0.2508 | 0.5846 | 0.3772 | 0.4296 |
| 0.094 | 7.0 | 2023 | 0.2546 | 0.5985 | 0.3945 | 0.4469 |
| 0.094 | 8.0 | 2312 | 0.2559 | 0.5961 | 0.3877 | 0.4414 |
| 0.0797 | 9.0 | 2601 | 0.2595 | 0.596 | 0.3902 | 0.4435 |
| 0.0797 | 10.0 | 2890 | 0.2625 | 0.6042 | 0.3935 | 0.4484 |
| 0.0711 | 11.0 | 3179 | 0.2650 | 0.5994 | 0.3881 | 0.4432 |
| 0.0711 | 12.0 | 3468 | 0.2649 | 0.6047 | 0.3944 | 0.4492 |
| 0.0647 | 13.0 | 3757 | 0.2680 | 0.602 | 0.3914 | 0.4464 |
| 0.061 | 14.0 | 4046 | 0.2696 | 0.6065 | 0.3937 | 0.4491 |
| 0.061 | 15.0 | 4335 | 0.2701 | 0.6044 | 0.3938 | 0.4489 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 11, 2024
- Updated
- Mar 11, 2024