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--- |
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base_model: october-sd/pegasus-xsum-finetuned-en-sum |
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tags: |
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- summarization |
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- generated_from_trainer |
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model-index: |
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- name: pegasus-latest-finetuned2 |
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results: [] |
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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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should probably proofread and complete it, then remove this comment. --> |
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# pegasus-latest-finetuned2 |
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This model is a fine-tuned version of [october-sd/pegasus-xsum-finetuned-en-sum](https://huggingface.co/october-sd/pegasus-xsum-finetuned-en-sum) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4684 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.97 | 8 | 1.4542 | |
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| No log | 1.94 | 16 | 1.4580 | |
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| No log | 2.91 | 24 | 1.4593 | |
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| No log | 4.0 | 33 | 1.4595 | |
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| No log | 4.97 | 41 | 1.4610 | |
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| No log | 5.94 | 49 | 1.4629 | |
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| No log | 6.91 | 57 | 1.4649 | |
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| No log | 8.0 | 66 | 1.4669 | |
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| No log | 8.97 | 74 | 1.4681 | |
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| No log | 9.7 | 80 | 1.4684 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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