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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: mt5-small-finetuned-sk-news |
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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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# mt5-small-finetuned-sk-news |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.7815 |
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- Rouge1: 4.2262 |
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- Rouge2: 0.4191 |
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- Rougel: 3.9794 |
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- Rougelsum: 4.0106 |
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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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| 24.5955 | 1.0 | 13 | 14.1001 | 3.1611 | 0.5122 | 2.9982 | 3.0234 | |
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| 21.452 | 2.0 | 26 | 12.4275 | 3.4559 | 0.5141 | 3.2461 | 3.256 | |
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| 19.6974 | 3.0 | 39 | 11.2369 | 3.5799 | 0.5058 | 3.4025 | 3.4185 | |
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| 18.2054 | 4.0 | 52 | 10.0774 | 4.0976 | 0.5831 | 3.8641 | 3.8412 | |
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| 15.314 | 5.0 | 65 | 9.5101 | 3.9583 | 0.4948 | 3.7593 | 3.7337 | |
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| 14.3465 | 6.0 | 78 | 9.0434 | 4.1681 | 0.437 | 3.8628 | 3.8584 | |
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| 15.0109 | 7.0 | 91 | 8.8574 | 4.3665 | 0.5 | 4.086 | 4.1242 | |
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| 15.2609 | 8.0 | 104 | 8.7815 | 4.2262 | 0.4191 | 3.9794 | 4.0106 | |
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### Framework versions |
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- Transformers 4.27.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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