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Wazzzabeee
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PoliteT5Base

Text2Text Generation
Transformers
PyTorch
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: PoliteT5Base
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # PoliteT5Base
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8536
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+ - Toxicity Ratio: 0.3421
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.01
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 75
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Toxicity Ratio |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|
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+ | No log | 1.0 | 22 | 1.3256 | 0.3070 |
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+ | No log | 2.0 | 44 | 0.8436 | 0.2982 |
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+ | 1.6337 | 3.0 | 66 | 0.7944 | 0.3333 |
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+ | 1.6337 | 4.0 | 88 | 0.8921 | 0.3158 |
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+ | 0.547 | 5.0 | 110 | 0.9630 | 0.2632 |
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+ | 0.547 | 6.0 | 132 | 0.9711 | 0.3158 |
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+ | 0.3279 | 7.0 | 154 | 0.9966 | 0.3070 |
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+ | 0.3279 | 8.0 | 176 | 1.0053 | 0.3246 |
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+ | 0.3279 | 9.0 | 198 | 1.0326 | 0.3333 |
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+ | 0.2282 | 10.0 | 220 | 0.9798 | 0.3158 |
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+ | 0.2282 | 11.0 | 242 | 1.0093 | 0.3333 |
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+ | 0.1837 | 12.0 | 264 | 1.2380 | 0.3246 |
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+ | 0.1837 | 13.0 | 286 | 1.1889 | 0.3860 |
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+ | 0.1546 | 14.0 | 308 | 1.1985 | 0.3596 |
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+ | 0.1546 | 15.0 | 330 | 1.2296 | 0.3509 |
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+ | 0.1178 | 16.0 | 352 | 1.1394 | 0.3684 |
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+ | 0.1178 | 17.0 | 374 | 1.1712 | 0.3596 |
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+ | 0.1178 | 18.0 | 396 | 1.1586 | 0.4035 |
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+ | 0.1185 | 19.0 | 418 | 1.9263 | 0.0789 |
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+ | 0.1185 | 20.0 | 440 | 1.3483 | 0.3246 |
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+ | 0.2332 | 21.0 | 462 | 1.3163 | 0.3158 |
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+ | 0.2332 | 22.0 | 484 | 1.2926 | 0.3509 |
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+ | 0.1267 | 23.0 | 506 | 1.2691 | 0.3421 |
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+ | 0.1267 | 24.0 | 528 | 1.3298 | 0.3596 |
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+ | 0.0879 | 25.0 | 550 | 1.2795 | 0.3509 |
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+ | 0.0879 | 26.0 | 572 | 1.2826 | 0.3246 |
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+ | 0.0879 | 27.0 | 594 | 1.2884 | 0.3158 |
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+ | 0.0747 | 28.0 | 616 | 1.4146 | 0.4035 |
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+ | 0.0747 | 29.0 | 638 | 1.3577 | 0.3596 |
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+ | 0.0714 | 30.0 | 660 | 1.2663 | 0.3509 |
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+ | 0.0714 | 31.0 | 682 | 1.2508 | 0.3772 |
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+ | 0.0566 | 32.0 | 704 | 1.3980 | 0.4035 |
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+ | 0.0566 | 33.0 | 726 | 1.4006 | 0.3860 |
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+ | 0.0566 | 34.0 | 748 | 1.4090 | 0.3596 |
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+ | 0.0572 | 35.0 | 770 | 1.4681 | 0.3246 |
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+ | 0.0572 | 36.0 | 792 | 1.4254 | 0.3947 |
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+ | 0.0456 | 37.0 | 814 | 1.4932 | 0.3246 |
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+ | 0.0456 | 38.0 | 836 | 1.3994 | 0.2982 |
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+ | 0.0385 | 39.0 | 858 | 1.4511 | 0.3421 |
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+ | 0.0385 | 40.0 | 880 | 1.3007 | 0.3684 |
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+ | 0.0223 | 41.0 | 902 | 1.3961 | 0.3158 |
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+ | 0.0223 | 42.0 | 924 | 1.4619 | 0.3246 |
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+ | 0.0223 | 43.0 | 946 | 1.3996 | 0.3246 |
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+ | 0.0199 | 44.0 | 968 | 1.5012 | 0.3509 |
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+ | 0.0199 | 45.0 | 990 | 1.4104 | 0.3246 |
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+ | 0.018 | 46.0 | 1012 | 1.5855 | 0.3333 |
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+ | 0.018 | 47.0 | 1034 | 1.4603 | 0.3333 |
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+ | 0.0146 | 48.0 | 1056 | 1.5335 | 0.3421 |
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+ | 0.0146 | 49.0 | 1078 | 1.4883 | 0.3772 |
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+ | 0.0131 | 50.0 | 1100 | 1.5366 | 0.2982 |
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+ | 0.0131 | 51.0 | 1122 | 1.5762 | 0.3509 |
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+ | 0.0131 | 52.0 | 1144 | 1.5434 | 0.3333 |
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+ | 0.0073 | 53.0 | 1166 | 1.4730 | 0.3158 |
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+ | 0.0073 | 54.0 | 1188 | 1.5133 | 0.3509 |
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+ | 0.0049 | 55.0 | 1210 | 1.6912 | 0.3509 |
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+ | 0.0049 | 56.0 | 1232 | 1.6376 | 0.3509 |
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+ | 0.0028 | 57.0 | 1254 | 1.8260 | 0.3509 |
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+ | 0.0028 | 58.0 | 1276 | 1.5748 | 0.3509 |
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+ | 0.0028 | 59.0 | 1298 | 1.6631 | 0.3509 |
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+ | 0.0029 | 60.0 | 1320 | 1.7458 | 0.3509 |
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+ | 0.0029 | 61.0 | 1342 | 1.6343 | 0.3684 |
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+ | 0.002 | 62.0 | 1364 | 1.6433 | 0.3421 |
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+ | 0.002 | 63.0 | 1386 | 1.7486 | 0.3509 |
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+ | 0.0014 | 64.0 | 1408 | 1.8081 | 0.3684 |
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+ | 0.0014 | 65.0 | 1430 | 1.8987 | 0.3947 |
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+ | 0.0007 | 66.0 | 1452 | 1.8811 | 0.3596 |
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+ | 0.0007 | 67.0 | 1474 | 1.8541 | 0.3596 |
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+ | 0.0007 | 68.0 | 1496 | 1.8233 | 0.3509 |
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+ | 0.001 | 69.0 | 1518 | 1.7747 | 0.3509 |
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+ | 0.001 | 70.0 | 1540 | 1.8105 | 0.3509 |
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+ | 0.0008 | 71.0 | 1562 | 1.8254 | 0.3596 |
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+ | 0.0008 | 72.0 | 1584 | 1.8444 | 0.3684 |
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+ | 0.0008 | 73.0 | 1606 | 1.8387 | 0.3509 |
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+ | 0.0008 | 74.0 | 1628 | 1.8501 | 0.3509 |
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+ | 0.0004 | 75.0 | 1650 | 1.8536 | 0.3421 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.11.0
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+ - Tokenizers 0.13.3