End of training
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README.md
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.
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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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- mixed_precision_training: Native AMP
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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 | 7 |
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| No log | 2.0 | 14 |
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| No log | 3.0 | 21 |
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| No log | 4.0 | 28 | 3.
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| No log | 5.0 | 35 | 3.
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### Framework versions
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0348
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- Rouge1: 0.4278
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- Rouge2: 0.2495
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- Rougel: 0.4307
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- Rougelsum: 0.4272
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- Gen Len: 15.0833
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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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- mixed_precision_training: Native AMP
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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 | 7 | 3.7769 | 0.357 | 0.1943 | 0.3562 | 0.3538 | 18.6667 |
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| No log | 2.0 | 14 | 3.5617 | 0.3952 | 0.2386 | 0.3963 | 0.3935 | 18.25 |
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| No log | 3.0 | 21 | 3.3882 | 0.4045 | 0.2402 | 0.4094 | 0.4044 | 16.8333 |
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| No log | 4.0 | 28 | 3.2644 | 0.4045 | 0.2402 | 0.4094 | 0.4044 | 16.8333 |
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| No log | 5.0 | 35 | 3.1643 | 0.4316 | 0.2495 | 0.4345 | 0.4306 | 15.25 |
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| No log | 6.0 | 42 | 3.0961 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
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| No log | 7.0 | 49 | 3.0551 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
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| No log | 8.0 | 56 | 3.0348 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
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### Framework versions
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model.safetensors
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