End of training
Browse files- README.md +8 -7
- runs/Jan07_13-27-02_9d6831937b51/events.out.tfevents.1704634023.9d6831937b51.1025.0 +3 -0
- runs/Jan07_13-27-29_9d6831937b51/events.out.tfevents.1704634060.9d6831937b51.1025.1 +3 -0
- runs/Jan07_13-27-46_9d6831937b51/events.out.tfevents.1704634075.9d6831937b51.1025.2 +3 -0
- training_args.bin +1 -1
README.md
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tags:
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- generated_from_trainer
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metrics:
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model-index:
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- name: mt5-base-finetuned-onet
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results: []
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Gen Len: 13.204
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.0 | 1.0 | 999 | nan |
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### Framework versions
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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-base-finetuned-onet
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results: []
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None 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: 6.336
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- Rouge2: 0.8465
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- Rougel: 5.8139
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- Rougelsum: 5.894
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- Gen Len: 13.204
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## Model description
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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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| 0.0 | 1.0 | 999 | nan | 6.336 | 0.8465 | 5.8139 | 5.894 | 13.204 |
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### Framework versions
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runs/Jan07_13-27-02_9d6831937b51/events.out.tfevents.1704634023.9d6831937b51.1025.0
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runs/Jan07_13-27-29_9d6831937b51/events.out.tfevents.1704634060.9d6831937b51.1025.1
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training_args.bin
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