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--- |
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license: apache-2.0 |
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base_model: IlyaGusev/rut5_base_sum_gazeta |
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tags: |
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- summarization_4 |
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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: rut5_base_sum_gazeta-finetuned_week_gpt |
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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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# rut5_base_sum_gazeta-finetuned_week_gpt |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2643 |
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- Rouge1: 38.9266 |
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- Rouge2: 18.0587 |
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- Rougel: 38.1447 |
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- Rougelsum: 38.1337 |
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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: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 1.7691 | 1.0 | 1110 | 1.4005 | 37.7689 | 17.7394 | 36.8468 | 36.8842 | |
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| 1.4892 | 2.0 | 2220 | 1.3477 | 35.9349 | 16.8403 | 35.1786 | 35.2055 | |
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| 1.3579 | 3.0 | 3330 | 1.3079 | 37.7579 | 17.6421 | 36.8439 | 36.8182 | |
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| 1.2708 | 4.0 | 4440 | 1.2675 | 37.867 | 17.3909 | 36.9706 | 36.987 | |
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| 1.2006 | 5.0 | 5550 | 1.2703 | 38.8218 | 17.9772 | 38.001 | 37.9811 | |
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| 1.1519 | 6.0 | 6660 | 1.2703 | 38.0351 | 17.5386 | 37.209 | 37.1815 | |
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| 1.1132 | 7.0 | 7770 | 1.2593 | 38.4673 | 17.8343 | 37.529 | 37.5268 | |
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| 1.0932 | 8.0 | 8880 | 1.2643 | 38.9266 | 18.0587 | 38.1447 | 38.1337 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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