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--- |
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license: apache-2.0 |
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base_model: tsmatz/mt5_summarize_japanese |
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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: Megagon_step3_tsmtz |
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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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# Megagon_step3_tsmtz |
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This model is a fine-tuned version of [tsmatz/mt5_summarize_japanese](https://huggingface.co/tsmatz/mt5_summarize_japanese) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6120 |
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- Rouge1: 0.1897 |
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- Rouge2: 0.0766 |
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- Rougel: 0.1897 |
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- Rougelsum: 0.1916 |
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- Gen Len: 9.5631 |
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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: 2e-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: 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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### 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 | 79 | 1.8495 | 0.1928 | 0.0738 | 0.1918 | 0.1949 | 9.536 | |
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| No log | 2.0 | 158 | 1.7032 | 0.1975 | 0.0758 | 0.1978 | 0.2004 | 9.5586 | |
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| No log | 3.0 | 237 | 1.6334 | 0.1883 | 0.0751 | 0.1882 | 0.1901 | 9.5315 | |
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| No log | 4.0 | 316 | 1.6120 | 0.1897 | 0.0766 | 0.1897 | 0.1916 | 9.5631 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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