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navjordj
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t5-base-snl

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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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: t5-base-snl
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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-base-snl
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+
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+ This model is a fine-tuned version of [north/t5_base_NCC_lm](https://huggingface.co/north/t5_base_NCC_lm) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0574
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+ - Rouge1: 29.7694
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+ - Rouge2: 15.6776
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+ - Rougel: 27.3556
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+ - Rougelsum: 28.4819
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+ - Gen Len: 19.0
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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: 5e-05
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 16
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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: 20.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 2.9943 | 1.0 | 170 | 2.2042 | 28.1135 | 13.7477 | 25.4842 | 26.6467 | 18.9768 |
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+ | 2.7955 | 2.0 | 340 | 2.1561 | 28.5159 | 14.3492 | 26.0596 | 27.2431 | 18.9853 |
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+ | 2.6378 | 3.0 | 510 | 2.1310 | 28.9554 | 14.6901 | 26.4208 | 27.5523 | 18.9915 |
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+ | 2.5962 | 4.0 | 680 | 2.1110 | 29.381 | 15.1503 | 26.8406 | 27.9653 | 18.9915 |
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+ | 2.5369 | 5.0 | 850 | 2.1020 | 29.5767 | 15.2692 | 27.0113 | 28.1849 | 18.9963 |
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+ | 2.5103 | 6.0 | 1020 | 2.0907 | 29.6354 | 15.434 | 27.0893 | 28.2703 | 18.9963 |
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+ | 2.4524 | 7.0 | 1190 | 2.0840 | 29.7812 | 15.4963 | 27.2779 | 28.385 | 18.9963 |
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+ | 2.4472 | 8.0 | 1360 | 2.0800 | 29.6011 | 15.5138 | 27.1381 | 28.2799 | 18.9963 |
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+ | 2.4089 | 9.0 | 1530 | 2.0752 | 29.7647 | 15.6183 | 27.318 | 28.4747 | 18.9963 |
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+ | 2.4011 | 10.0 | 1700 | 2.0710 | 29.6533 | 15.5536 | 27.2687 | 28.4457 | 19.0 |
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+ | 2.3792 | 11.0 | 1870 | 2.0656 | 29.8668 | 15.6931 | 27.4208 | 28.5477 | 19.0 |
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+ | 2.3588 | 12.0 | 2040 | 2.0635 | 29.8378 | 15.682 | 27.4635 | 28.5803 | 18.9963 |
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+ | 2.3397 | 13.0 | 2210 | 2.0630 | 29.9043 | 15.7535 | 27.5065 | 28.6539 | 19.0 |
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+ | 2.3201 | 14.0 | 2380 | 2.0600 | 29.7926 | 15.7077 | 27.4066 | 28.5302 | 18.9963 |
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+ | 2.3241 | 15.0 | 2550 | 2.0615 | 29.8536 | 15.7929 | 27.4572 | 28.5704 | 19.0 |
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+ | 2.3183 | 16.0 | 2720 | 2.0574 | 29.7529 | 15.6729 | 27.3388 | 28.4678 | 19.0 |
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+ | 2.3346 | 17.0 | 2890 | 2.0571 | 29.7443 | 15.6459 | 27.3245 | 28.4549 | 19.0 |
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+ | 2.2932 | 18.0 | 3060 | 2.0577 | 29.7467 | 15.6717 | 27.3391 | 28.4541 | 19.0 |
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+ | 2.2755 | 19.0 | 3230 | 2.0574 | 29.7694 | 15.6776 | 27.3556 | 28.4819 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.0.dev0
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+ - Pytorch 1.13.1
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+ - Datasets 2.10.1
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+ - Tokenizers 0.13.2