Training complete
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README.md
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metrics:
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- name: Rouge1
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type: rouge
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value:
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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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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Rouge1:
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- Rouge2:
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- Rougel:
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- Rougelsum:
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## Model description
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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:
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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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### Framework versions
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metrics:
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- name: Rouge1
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type: rouge
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value: 39.9323
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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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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9328
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- Rouge1: 39.9323
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- Rouge2: 18.0293
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- Rougel: 34.3611
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- Rougelsum: 37.3087
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## Model description
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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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| 4.5012 | 1.0 | 1050 | 2.1992 | 34.6608 | 14.0886 | 29.8674 | 32.1737 |
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| 2.6852 | 2.0 | 2100 | 2.1014 | 38.1793 | 16.0747 | 32.5426 | 35.4332 |
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| 2.4933 | 3.0 | 3150 | 2.0319 | 38.4414 | 16.4993 | 32.6973 | 35.8539 |
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| 2.3933 | 4.0 | 4200 | 1.9910 | 39.2966 | 17.1718 | 33.5556 | 36.802 |
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| 2.3273 | 5.0 | 5250 | 1.9764 | 39.7619 | 17.7287 | 33.9838 | 37.1345 |
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| 2.2783 | 6.0 | 6300 | 1.9503 | 39.9351 | 17.8312 | 34.2641 | 37.2625 |
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| 2.2543 | 7.0 | 7350 | 1.9350 | 39.9551 | 17.918 | 34.3361 | 37.2039 |
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| 2.2383 | 8.0 | 8400 | 1.9328 | 39.9323 | 18.0293 | 34.3611 | 37.3087 |
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### Framework versions
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model.safetensors
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runs/Nov30_13-50-10_13547b54126b/events.out.tfevents.1701352225.13547b54126b.48239.0
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