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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [sshleifer/distill-pegasus-xsum-16-4](https://huggingface.co/sshleifer/distill-pegasus-xsum-16-4) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4473 |
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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: 1 |
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- eval_batch_size: 1 |
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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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- lr_scheduler_warmup_steps: 500 |
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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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| 7.2378 | 0.51 | 100 | 7.1853 | |
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| 7.2309 | 1.01 | 200 | 6.6342 | |
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| 6.4796 | 1.52 | 300 | 6.3206 | |
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| 6.2691 | 2.02 | 400 | 6.0184 | |
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| 5.7382 | 2.53 | 500 | 5.5754 | |
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| 4.9922 | 3.03 | 600 | 4.5178 | |
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| 3.6031 | 3.54 | 700 | 2.8579 | |
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| 2.5203 | 4.04 | 800 | 2.4718 | |
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| 2.2563 | 4.55 | 900 | 2.4128 | |
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| 2.1425 | 5.05 | 1000 | 2.3767 | |
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| 2.004 | 5.56 | 1100 | 2.3982 | |
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| 2.0437 | 6.06 | 1200 | 2.3787 | |
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| 1.9407 | 6.57 | 1300 | 2.3952 | |
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| 1.9194 | 7.07 | 1400 | 2.3964 | |
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| 1.758 | 7.58 | 1500 | 2.4056 | |
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| 1.918 | 8.08 | 1600 | 2.4101 | |
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| 1.9162 | 8.59 | 1700 | 2.4085 | |
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| 1.8983 | 9.09 | 1800 | 2.4058 | |
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| 1.6939 | 9.6 | 1900 | 2.4050 | |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.15.1 |
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- Tokenizers 0.10.3 |
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