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Sandipan1994
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t5-small-entailement-Writer-T5-small

Text2Text Generation
Transformers
PyTorch
TensorBoard
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: t5-small-entailement-Writer-T5-small
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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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+ # t5-small-entailement-Writer-T5-small
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5628
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 100
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 83 | 1.2943 |
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+ | No log | 2.0 | 166 | 0.9323 |
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+ | No log | 3.0 | 249 | 0.8443 |
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+ | No log | 4.0 | 332 | 0.7884 |
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+ | No log | 5.0 | 415 | 0.7582 |
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+ | No log | 6.0 | 498 | 0.7355 |
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+ | 1.2761 | 7.0 | 581 | 0.7178 |
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+ | 1.2761 | 8.0 | 664 | 0.7105 |
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+ | 1.2761 | 9.0 | 747 | 0.6972 |
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+ | 1.2761 | 10.0 | 830 | 0.6847 |
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+ | 1.2761 | 11.0 | 913 | 0.6774 |
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+ | 1.2761 | 12.0 | 996 | 0.6708 |
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+ | 0.7765 | 13.0 | 1079 | 0.6609 |
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+ | 0.7765 | 14.0 | 1162 | 0.6566 |
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+ | 0.7765 | 15.0 | 1245 | 0.6507 |
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+ | 0.7765 | 16.0 | 1328 | 0.6454 |
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+ | 0.7765 | 17.0 | 1411 | 0.6438 |
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+ | 0.7765 | 18.0 | 1494 | 0.6384 |
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+ | 0.693 | 19.0 | 1577 | 0.6347 |
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+ | 0.693 | 20.0 | 1660 | 0.6321 |
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+ | 0.693 | 21.0 | 1743 | 0.6254 |
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+ | 0.693 | 22.0 | 1826 | 0.6237 |
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+ | 0.693 | 23.0 | 1909 | 0.6215 |
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+ | 0.693 | 24.0 | 1992 | 0.6167 |
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+ | 0.6504 | 25.0 | 2075 | 0.6167 |
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+ | 0.6504 | 26.0 | 2158 | 0.6131 |
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+ | 0.6504 | 27.0 | 2241 | 0.6120 |
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+ | 0.6504 | 28.0 | 2324 | 0.6091 |
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+ | 0.6504 | 29.0 | 2407 | 0.6076 |
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+ | 0.6504 | 30.0 | 2490 | 0.6058 |
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+ | 0.615 | 31.0 | 2573 | 0.6031 |
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+ | 0.615 | 32.0 | 2656 | 0.6015 |
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+ | 0.615 | 33.0 | 2739 | 0.6015 |
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+ | 0.615 | 34.0 | 2822 | 0.6000 |
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+ | 0.615 | 35.0 | 2905 | 0.5998 |
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+ | 0.615 | 36.0 | 2988 | 0.5969 |
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+ | 0.586 | 37.0 | 3071 | 0.5959 |
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+ | 0.586 | 38.0 | 3154 | 0.5941 |
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+ | 0.586 | 39.0 | 3237 | 0.5923 |
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+ | 0.586 | 40.0 | 3320 | 0.5936 |
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+ | 0.586 | 41.0 | 3403 | 0.5929 |
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+ | 0.586 | 42.0 | 3486 | 0.5922 |
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+ | 0.5618 | 43.0 | 3569 | 0.5910 |
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+ | 0.5618 | 44.0 | 3652 | 0.5885 |
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+ | 0.5618 | 45.0 | 3735 | 0.5879 |
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+ | 0.5618 | 46.0 | 3818 | 0.5873 |
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+ | 0.5618 | 47.0 | 3901 | 0.5877 |
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+ | 0.5618 | 48.0 | 3984 | 0.5878 |
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+ | 0.5418 | 49.0 | 4067 | 0.5881 |
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+ | 0.5418 | 50.0 | 4150 | 0.5858 |
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+ | 0.5418 | 51.0 | 4233 | 0.5847 |
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+ | 0.5418 | 52.0 | 4316 | 0.5839 |
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+ | 0.5418 | 53.0 | 4399 | 0.5843 |
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+ | 0.5418 | 54.0 | 4482 | 0.5826 |
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+ | 0.5283 | 55.0 | 4565 | 0.5843 |
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+ | 0.5283 | 56.0 | 4648 | 0.5833 |
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+ | 0.5283 | 57.0 | 4731 | 0.5825 |
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+ | 0.5283 | 58.0 | 4814 | 0.5827 |
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+ | 0.5283 | 59.0 | 4897 | 0.5830 |
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+ | 0.5283 | 60.0 | 4980 | 0.5806 |
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+ | 0.5135 | 61.0 | 5063 | 0.5808 |
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+ | 0.5135 | 62.0 | 5146 | 0.5806 |
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+ | 0.5135 | 63.0 | 5229 | 0.5807 |
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+ | 0.5135 | 64.0 | 5312 | 0.5823 |
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+ | 0.5135 | 65.0 | 5395 | 0.5801 |
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+ | 0.5135 | 66.0 | 5478 | 0.5799 |
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+ | 0.5053 | 67.0 | 5561 | 0.5808 |
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+ | 0.5053 | 68.0 | 5644 | 0.5796 |
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+ | 0.5053 | 69.0 | 5727 | 0.5793 |
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+ | 0.5053 | 70.0 | 5810 | 0.5785 |
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+ | 0.5053 | 71.0 | 5893 | 0.5790 |
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+ | 0.5053 | 72.0 | 5976 | 0.5775 |
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+ | 0.4985 | 73.0 | 6059 | 0.5770 |
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+ | 0.4985 | 74.0 | 6142 | 0.5777 |
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+ | 0.4985 | 75.0 | 6225 | 0.5780 |
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+ | 0.4985 | 76.0 | 6308 | 0.5779 |
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+ | 0.4985 | 77.0 | 6391 | 0.5782 |
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+ | 0.4985 | 78.0 | 6474 | 0.5773 |
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+ | 0.4889 | 79.0 | 6557 | 0.5787 |
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+ | 0.4889 | 80.0 | 6640 | 0.5787 |
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+ | 0.4889 | 81.0 | 6723 | 0.5773 |
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+ | 0.4889 | 82.0 | 6806 | 0.5777 |
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+ | 0.4889 | 83.0 | 6889 | 0.5759 |
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+ | 0.4889 | 84.0 | 6972 | 0.5765 |
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+ | 0.4806 | 85.0 | 7055 | 0.5758 |
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+ | 0.4806 | 86.0 | 7138 | 0.5760 |
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+ | 0.4806 | 87.0 | 7221 | 0.5758 |
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+ | 0.4806 | 88.0 | 7304 | 0.5760 |
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+ | 0.4806 | 89.0 | 7387 | 0.5759 |
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+ | 0.4806 | 90.0 | 7470 | 0.5758 |
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+ | 0.4817 | 91.0 | 7553 | 0.5753 |
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+ | 0.4817 | 92.0 | 7636 | 0.5757 |
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+ | 0.4817 | 93.0 | 7719 | 0.5754 |
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+ | 0.4817 | 94.0 | 7802 | 0.5750 |
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+ | 0.4817 | 95.0 | 7885 | 0.5753 |
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+ | 0.4817 | 96.0 | 7968 | 0.5752 |
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+ | 0.4767 | 97.0 | 8051 | 0.5754 |
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+ | 0.4767 | 98.0 | 8134 | 0.5756 |
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+ | 0.4767 | 99.0 | 8217 | 0.5755 |
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+ | 0.4767 | 100.0 | 8300 | 0.5755 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.24.0
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.7.1
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+ - Tokenizers 0.13.2