Zlovoblachko
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End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google-t5
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tags:
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- generated_from_trainer
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metrics:
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# my_awesome_dailymail_model
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This model is a fine-tuned version of [google-t5
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It achieves the following results on the evaluation set:
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- Loss:
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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: 19.0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/long-t5-tglobal-base
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tags:
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- generated_from_trainer
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metrics:
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# my_awesome_dailymail_model
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This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7605
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- Rouge1: 0.2044
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- Rouge2: 0.1072
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- Rougel: 0.1751
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- Rougelsum: 0.1748
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- Gen Len: 19.0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 124 | 1.8435 | 0.1904 | 0.0914 | 0.1603 | 0.1602 | 19.0 |
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| No log | 2.0 | 248 | 1.7953 | 0.2033 | 0.1046 | 0.1733 | 0.1732 | 19.0 |
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| No log | 3.0 | 372 | 1.7681 | 0.2042 | 0.1061 | 0.1753 | 0.175 | 19.0 |
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| No log | 4.0 | 496 | 1.7605 | 0.2044 | 0.1072 | 0.1751 | 0.1748 | 19.0 |
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### Framework versions
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runs/Oct06_01-56-59_b00e0ecb01fe/events.out.tfevents.1728179820.b00e0ecb01fe.30.3
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