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TasmiaAzmi
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masked-sentence-generation-t5-base

Text2Text Generation
Transformers
PyTorch
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: masked-sentence-generation-t5-base
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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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+ # masked-sentence-generation-t5-base
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7392
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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: 0.0001
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 4
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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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+ | 2.9984 | 0.05 | 80 | 2.7041 |
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+ | 2.8752 | 0.1 | 160 | 2.7021 |
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+ | 2.9314 | 0.15 | 240 | 2.6966 |
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+ | 2.8541 | 0.2 | 320 | 2.6968 |
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+ | 2.8674 | 0.25 | 400 | 2.6900 |
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+ | 2.8706 | 0.3 | 480 | 2.6886 |
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+ | 2.7718 | 0.34 | 560 | 2.6908 |
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+ | 2.8503 | 0.39 | 640 | 2.6877 |
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+ | 2.8195 | 0.44 | 720 | 2.6902 |
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+ | 2.8569 | 0.49 | 800 | 2.6893 |
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+ | 2.8372 | 0.54 | 880 | 2.6859 |
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+ | 2.8915 | 0.59 | 960 | 2.6898 |
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+ | 2.9687 | 0.64 | 1040 | 2.6909 |
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+ | 2.832 | 0.69 | 1120 | 2.6841 |
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+ | 2.8425 | 0.74 | 1200 | 2.6842 |
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+ | 2.8114 | 0.79 | 1280 | 2.6766 |
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+ | 2.8101 | 0.84 | 1360 | 2.6783 |
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+ | 2.8837 | 0.89 | 1440 | 2.6781 |
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+ | 2.894 | 0.94 | 1520 | 2.6754 |
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+ | 2.9183 | 0.99 | 1600 | 2.6762 |
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+ | 2.6916 | 1.03 | 1680 | 2.6889 |
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+ | 2.5812 | 1.08 | 1760 | 2.6896 |
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+ | 2.5522 | 1.13 | 1840 | 2.6943 |
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+ | 2.5368 | 1.18 | 1920 | 2.6928 |
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+ | 2.5987 | 1.23 | 2000 | 2.6927 |
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+ | 2.5625 | 1.28 | 2080 | 2.6899 |
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+ | 2.4946 | 1.33 | 2160 | 2.6942 |
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+ | 2.5902 | 1.38 | 2240 | 2.6900 |
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+ | 2.5415 | 1.43 | 2320 | 2.6897 |
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+ | 2.5767 | 1.48 | 2400 | 2.6858 |
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+ | 2.6262 | 1.53 | 2480 | 2.6825 |
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+ | 2.6066 | 1.58 | 2560 | 2.6818 |
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+ | 2.5387 | 1.63 | 2640 | 2.6840 |
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+ | 2.5795 | 1.67 | 2720 | 2.6828 |
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+ | 2.5521 | 1.72 | 2800 | 2.6871 |
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+ | 2.5477 | 1.77 | 2880 | 2.6836 |
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+ | 2.587 | 1.82 | 2960 | 2.6824 |
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+ | 2.529 | 1.87 | 3040 | 2.6871 |
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+ | 2.6221 | 1.92 | 3120 | 2.6838 |
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+ | 2.6353 | 1.97 | 3200 | 2.6803 |
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+ | 2.5419 | 2.02 | 3280 | 2.6879 |
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+ | 2.4521 | 2.07 | 3360 | 2.7027 |
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+ | 2.3415 | 2.12 | 3440 | 2.7105 |
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+ | 2.3483 | 2.17 | 3520 | 2.7140 |
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+ | 2.3493 | 2.22 | 3600 | 2.7144 |
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+ | 2.3967 | 2.27 | 3680 | 2.7134 |
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+ | 2.3544 | 2.32 | 3760 | 2.7122 |
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+ | 2.3192 | 2.36 | 3840 | 2.7175 |
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+ | 2.3381 | 2.41 | 3920 | 2.7166 |
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+ | 2.3667 | 2.46 | 4000 | 2.7165 |
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+ | 2.3997 | 2.51 | 4080 | 2.7106 |
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+ | 2.3178 | 2.56 | 4160 | 2.7154 |
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+ | 2.4036 | 2.61 | 4240 | 2.7144 |
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+ | 2.3797 | 2.66 | 4320 | 2.7129 |
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+ | 2.3354 | 2.71 | 4400 | 2.7136 |
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+ | 2.4109 | 2.76 | 4480 | 2.7118 |
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+ | 2.387 | 2.81 | 4560 | 2.7097 |
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+ | 2.3934 | 2.86 | 4640 | 2.7103 |
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+ | 2.3956 | 2.91 | 4720 | 2.7103 |
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+ | 2.4086 | 2.96 | 4800 | 2.7111 |
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+ | 2.4083 | 3.0 | 4880 | 2.7110 |
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+ | 2.3121 | 3.05 | 4960 | 2.7230 |
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+ | 2.263 | 3.1 | 5040 | 2.7252 |
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+ | 2.2722 | 3.15 | 5120 | 2.7296 |
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+ | 2.2053 | 3.2 | 5200 | 2.7309 |
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+ | 2.1969 | 3.25 | 5280 | 2.7363 |
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+ | 2.2684 | 3.3 | 5360 | 2.7396 |
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+ | 2.2789 | 3.35 | 5440 | 2.7376 |
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+ | 2.2227 | 3.4 | 5520 | 2.7384 |
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+ | 2.2886 | 3.45 | 5600 | 2.7390 |
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+ | 2.2182 | 3.5 | 5680 | 2.7376 |
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+ | 2.2738 | 3.55 | 5760 | 2.7394 |
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+ | 2.1687 | 3.6 | 5840 | 2.7386 |
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+ | 2.2548 | 3.65 | 5920 | 2.7371 |
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+ | 2.2391 | 3.69 | 6000 | 2.7372 |
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+ | 2.2031 | 3.74 | 6080 | 2.7391 |
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+ | 2.1885 | 3.79 | 6160 | 2.7400 |
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+ | 2.216 | 3.84 | 6240 | 2.7406 |
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+ | 2.272 | 3.89 | 6320 | 2.7401 |
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+ | 2.3455 | 3.94 | 6400 | 2.7395 |
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+ | 2.2889 | 3.99 | 6480 | 2.7392 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.1
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+ - Pytorch 2.0.0
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+ - Datasets 2.12.0
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+ - Tokenizers 0.11.0