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--- |
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tasks: summarization |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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- Summarization |
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model-index: |
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- name: distilbart-podimo-data-5 |
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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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# distilbart-podimo-data-5 |
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1325 |
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## Model description |
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model | rouge1 | rouge2 | rougeL | rougeLsum |
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sshleifer/distilbart-cnn-12-6 | 0.202654 | 0.025766 | 0.123072 | 0.130183 |
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emmyapi/distilbart-podimo-data-3 | 0.235147 | 0.047087 | 0.151535 | 0.161782 |
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emmyapi/distilbart-podimo-data-4 | 0.236926 | 0.048327 | 0.153539 | 0.165026 |
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emmyapi/distilbart-podimo-data-5 | 0.259024 | 0.061665 | 0.167187 | 0.178399 |
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emmyapi/distilbart-podimo-data-7 | 0.298888 | 0.059900 | 0.159479 | 0.185049 |
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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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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 64 |
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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: 16 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.3477 | 3.33 | 500 | 3.7027 | |
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| 2.6286 | 6.66 | 1000 | 3.6995 | |
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| 2.0718 | 10.0 | 1500 | 3.8868 | |
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| 1.7806 | 13.33 | 2000 | 4.1325 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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