End of training
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README.md
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This model is a fine-tuned version of [mHossain/ml_sum_v2](https://huggingface.co/mHossain/ml_sum_v2) on an unknown 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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- Gen Len:
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## Model description
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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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- lr_scheduler_warmup_steps: 5000
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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
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| No log | 1.0 | 312 |
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| 2.658 | 3.99 | 1248 | 2.2395 | 13.9684 | 5.8112 | 12.261 | 13.2677 | 19.0 |
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### Framework versions
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This model is a fine-tuned version of [mHossain/ml_sum_v2](https://huggingface.co/mHossain/ml_sum_v2) on an unknown 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: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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- Gen Len: 0.0
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## Model description
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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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- lr_scheduler_warmup_steps: 5000
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- num_epochs: 3
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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 | 312 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.9648 | 2.0 | 625 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.9648 | 3.0 | 936 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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### Framework versions
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runs/Mar11_18-30-36_0283d48d218c/events.out.tfevents.1710181977.0283d48d218c.1882.0
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size
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size 7715
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