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--- |
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base_model: google/pegasus-multi_news |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: finetuned_pegasus_custom |
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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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# finetuned_pegasus_custom |
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This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5792 |
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- Rouge1: 43.3499 |
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- Rouge2: 19.473 |
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- Rougel: 28.3372 |
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- Rougelsum: 39.6698 |
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- Gen Len: 167.2593 |
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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: 2e-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: 2 |
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- total_train_batch_size: 2 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| |
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| No log | 0.98 | 31 | 1.6733 | 45.2908 | 20.6545 | 28.8174 | 41.1913 | 157.2593 | |
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| No log | 2.0 | 63 | 1.6448 | 45.8258 | 20.4208 | 29.3649 | 41.4304 | 164.7778 | |
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| No log | 2.98 | 94 | 1.6308 | 45.6111 | 20.1988 | 28.7912 | 41.5061 | 157.8519 | |
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| No log | 4.0 | 126 | 1.6105 | 45.2388 | 20.9335 | 28.8736 | 41.3696 | 160.6667 | |
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| No log | 4.98 | 157 | 1.6009 | 44.84 | 20.5064 | 29.3276 | 40.9796 | 154.0741 | |
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| No log | 6.0 | 189 | 1.5903 | 44.3777 | 19.987 | 29.5859 | 40.7764 | 163.1111 | |
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| No log | 6.98 | 220 | 1.5844 | 44.3786 | 20.2566 | 29.1194 | 40.9269 | 160.1111 | |
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| No log | 8.0 | 252 | 1.5821 | 43.3413 | 19.3 | 28.3204 | 39.619 | 153.6667 | |
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| No log | 8.98 | 283 | 1.5796 | 42.9684 | 18.9515 | 27.909 | 39.166 | 162.1852 | |
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| No log | 9.84 | 310 | 1.5792 | 43.3499 | 19.473 | 28.3372 | 39.6698 | 167.2593 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.1 |
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