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t5-end2end-question-generation
derek-thomas/t5-end2end-question-generation
t5-end2end-question-generation is a machine learning model from derek-thomas. 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 20, 2023
- Updated
- Mar 21, 2023
- SHA
- cc204642
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-end2end-question-generation
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3875
- Rouge1: 29.8409
- Rouge2: 15.2583
- Rougel: 25.4802
- Rougelsum: 28.8023
- Gen Len: 18.9971
- Bleu: 1.8149
- Bleu 0: 71.9158
- Bleu 1: 46.3975
- Bleu 2: 31.3479
- Bleu 3: 20.236
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu | Bleu 0 | Bleu 1 | Bleu 2 | Bleu 3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.4252 | 0.21 | 500 | 1.4638 | 29.5937 | 14.6438 | 25.1309 | 28.5076 | 18.9990 | 1.7595 | 70.9726 | 44.8789 | 29.8013 | 18.9402 |
| 1.3591 | 0.42 | 1000 | 1.4619 | 29.4017 | 14.7271 | 25.1139 | 28.3406 | 19.0 | 1.7286 | 70.9671 | 45.415 | 30.2413 | 19.1132 |
| 1.426 | 0.64 | 1500 | 1.4313 | 29.9163 | 15.0542 | 25.5098 | 28.852 | 19.0 | 1.8109 | 71.924 | 46.0312 | 30.8421 | 19.6842 |
| 1.5525 | 0.85 | 2000 | 1.4177 | 30.0353 | 15.2661 | 25.6495 | 28.9867 | 19.0 | 1.8387 | 72.1696 | 46.3888 | 31.1768 | 20.1203 |
| 1.5035 | 1.06 | 2500 | 1.4185 | 29.7649 | 15.1864 | 25.4353 | 28.738 | 19.0 | 1.7868 | 71.9618 | 46.6091 | 31.4797 | 20.209 |
| 1.4294 | 1.27 | 3000 | 1.4138 | 29.5473 | 14.877 | 25.1373 | 28.5195 | 18.9990 | 1.7516 | 71.3163 | 45.6707 | 30.7404 | 19.6335 |
| 1.4336 | 1.49 | 3500 | 1.4058 | 29.9003 | 15.213 | 25.4924 | 28.8375 | 19.0 | 1.799 | 71.8573 | 46.2609 | 31.2086 | 20.0675 |
| 1.4434 | 1.7 | 4000 | 1.3978 | 30.0046 | 15.2722 | 25.6091 | 28.9496 | 18.9990 | 1.839 | 72.2448 | 46.6283 | 31.463 | 20.2921 |
| 1.4285 | 1.91 | 4500 | 1.3984 | 30.0478 | 15.1083 | 25.4469 | 28.9337 | 18.9990 | 1.8247 | 71.6695 | 45.7508 | 30.7813 | 19.7828 |
| 1.3926 | 2.12 | 5000 | 1.3982 | 30.0837 | 15.4009 | 25.6203 | 29.0334 | 18.9990 | 1.8237 | 72.2626 | 46.662 | 31.5043 | 20.2789 |
| 1.369 | 2.33 | 5500 | 1.3980 | 29.9042 | 15.1828 | 25.4962 | 28.8323 | 18.9990 | 1.8064 | 71.8783 | 46.1411 | 31.0047 | 19.9691 |
| 1.3577 | 2.55 | 6000 | 1.3936 | 29.9335 | 15.2821 | 25.5855 | 28.9161 | 19.0 | 1.8099 | 71.8881 | 46.3101 | 31.3396 | 20.3185 |
| 1.3636 | 2.76 | 6500 | 1.3908 | 29.9512 | 15.2434 | 25.5476 | 28.9224 | 18.9995 | 1.8242 | 71.9772 | 46.3212 | 31.2688 | 20.1704 |
| 1.3799 | 2.97 | 7000 | 1.3900 | 29.9393 | 15.1658 | 25.4702 | 28.8729 | 18.9971 | 1.8055 | 71.9431 | 46.1286 | 30.9969 | 19.9389 |
| 1.3318 | 3.18 | 7500 | 1.3934 | 29.7982 | 15.132 | 25.3908 | 28.7333 | 18.9995 | 1.7908 | 71.7081 | 46.1832 | 31.1416 | 20.1409 |
| 1.3208 | 3.4 | 8000 | 1.3928 | 29.9378 | 15.1421 | 25.4586 | 28.8793 | 19.0 | 1.8258 | 71.7795 | 45.969 | 30.9173 | 19.9664 |
| 1.3135 | 3.61 | 8500 | 1.3888 | 29.9264 | 15.2179 | 25.5529 | 28.875 | 19.0 | 1.8363 | 71.9537 | 46.2706 | 31.2245 | 20.2624 |
| 1.323 | 3.82 | 9000 | 1.3868 | 29.8749 | 15.2251 | 25.4639 | 28.7949 | 18.9971 | 1.812 | 71.6918 | 46.1503 | 31.0437 | 19.9965 |
| 1.3325 | 4.03 | 9500 | 1.3868 | 29.8804 | 15.2658 | 25.4848 | 28.8238 | 18.9971 | 1.8105 | 71.9146 | 46.3617 | 31.2842 | 20.1447 |
| 1.296 | 4.24 | 10000 | 1.3882 | 29.941 | 15.28 | 25.5209 | 28.9109 | 18.9971 | 1.817 | 71.994 | 46.3801 | 31.216 | 20.0596 |
| 1.3027 | 4.46 | 10500 | 1.3883 | 29.8492 | 15.2017 | 25.4398 | 28.7911 | 18.9971 | 1.7994 | 71.8366 | 46.0939 | 30.9953 | 19.9115 |
| 1.3046 | 4.67 | 11000 | 1.3880 | 29.8538 | 15.2605 | 25.4897 | 28.8236 | 18.9971 | 1.8136 | 71.9285 | 46.3689 | 31.2969 | 20.1728 |
| 1.294 | 4.88 | 11500 | 1.3875 | 29.8409 | 15.2583 | 25.4802 | 28.8023 | 18.9971 | 1.8149 | 71.9158 | 46.3975 | 31.3479 | 20.236 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 20, 2023
- Updated
- Mar 21, 2023