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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: ru_t5model_for_legalsimplification |
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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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# ru_t5model_for_legalsimplification |
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This model is a fine-tuned version of [IlyaGusev/rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Rouge1: 0.5364 |
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- Rouge2: 0.1481 |
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- Rougel: 0.506 |
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- Rougelsum: 0.4917 |
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- Gen Len: 163.03 |
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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: 0.002 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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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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| No log | 1.0 | 157 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| No log | 2.0 | 314 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| No log | 3.0 | 471 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| 0.0 | 4.0 | 628 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| 0.0 | 5.0 | 785 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| 0.0 | 6.0 | 942 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| 0.0 | 7.0 | 1099 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| 0.0 | 8.0 | 1256 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| 0.0 | 9.0 | 1413 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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| 0.0 | 10.0 | 1570 | nan | 0.5364 | 0.1481 | 0.506 | 0.4917 | 163.03 | |
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### Framework versions |
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- Transformers 4.22.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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