End of training
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README.md
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Rougelsum: 0.
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- Gen Len:
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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 | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 395 |
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| 2.
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### Framework versions
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8535
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- Rouge1: 0.0273
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- Rouge2: 0.0
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- Rougel: 0.0277
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- Rougelsum: 0.0274
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- Gen Len: 19.0
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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: 10
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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 | 395 | 3.4194 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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| 4.9137 | 2.0 | 790 | 3.0496 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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| 3.1919 | 3.0 | 1185 | 2.9381 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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| 2.8961 | 4.0 | 1580 | 2.8875 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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| 2.8961 | 5.0 | 1975 | 2.8487 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
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| 2.72 | 6.0 | 2370 | 2.8328 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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| 2.5695 | 7.0 | 2765 | 2.8332 | 0.0273 | 0.0 | 0.0277 | 0.0274 | 19.0 |
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| 2.4644 | 8.0 | 3160 | 2.8412 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
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| 2.3847 | 9.0 | 3555 | 2.8358 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
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| 2.3847 | 10.0 | 3950 | 2.8535 | 0.0273 | 0.0 | 0.0277 | 0.0274 | 19.0 |
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### Framework versions
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model.safetensors
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