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--- |
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license: apache-2.0 |
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base_model: google/t5-v1_1-large |
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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-v1_1-large-gramatika1500k |
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results: [] |
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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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# t5-v1_1-large-gramatika1500k |
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This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0386 |
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- Rouge1: 52.2432 |
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- Rouge2: 46.3929 |
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- Rougel: 52.1914 |
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- Rougelsum: 52.1955 |
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- Gen Len: 18.9096 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adafactor |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.1341 | 1.33 | 100000 | 0.0603 | 51.1478 | 44.5632 | 51.0653 | 51.0706 | 18.9107 | |
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| 0.0608 | 2.67 | 200000 | 0.0469 | 51.7198 | 45.5159 | 51.6566 | 51.6625 | 18.9102 | |
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| 0.0465 | 4.0 | 300000 | 0.0417 | 51.97 | 45.93 | 51.9094 | 51.9137 | 18.9101 | |
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| 0.0375 | 5.33 | 400000 | 0.0402 | 52.1056 | 46.1587 | 52.0509 | 52.0577 | 18.9095 | |
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| 0.0322 | 6.67 | 500000 | 0.0388 | 52.1861 | 46.2939 | 52.1316 | 52.1371 | 18.9095 | |
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| 0.0285 | 8.0 | 600000 | 0.0386 | 52.2432 | 46.3929 | 52.1914 | 52.1955 | 18.9096 | |
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| 0.0253 | 9.34 | 700000 | 0.0390 | 52.2683 | 46.4315 | 52.2181 | 52.224 | 18.9094 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.11.0a0+b6df043 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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