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--- |
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license: apache-2.0 |
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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: led-base-16384-biolaysum-both-annotated_original |
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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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# led-base-16384-biolaysum-both-annotated_original |
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This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2291 |
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- Rouge1: 0.4024 |
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- Rouge2: 0.1404 |
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- Rougel: 0.1995 |
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- Rougelsum: 0.1995 |
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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: 4 |
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- eval_batch_size: 4 |
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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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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 2.3052 | 0.69 | 5000 | 2.2666 | 0.4001 | 0.1388 | 0.1983 | 0.1983 | |
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| 2.0681 | 1.37 | 10000 | 2.2291 | 0.4024 | 0.1404 | 0.1995 | 0.1995 | |
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| 1.9434 | 2.06 | 15000 | 2.3015 | 0.4005 | 0.1385 | 0.1992 | 0.1992 | |
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| 1.9203 | 2.75 | 20000 | 2.3104 | 0.3909 | 0.1315 | 0.1940 | 0.1939 | |
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| 1.7928 | 3.43 | 25000 | 2.3387 | 0.3912 | 0.1314 | 0.1919 | 0.1918 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1 |
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- Datasets 2.10.1 |
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- Tokenizers 0.12.1 |
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