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--- |
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license: mit |
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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: bart-large-cnn-samsum-icsi-ami-v2 |
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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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# bart-large-cnn-samsum-icsi-ami-v2 |
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This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.8987 |
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- Rouge1: 39.0928 |
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- Rouge2: 10.8408 |
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- Rougel: 21.9138 |
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- Rougelsum: 35.5067 |
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- Gen Len: 138.7941 |
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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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- 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 | 1.0 | 135 | 3.2308 | 38.4274 | 13.6461 | 22.366 | 35.2353 | 185.7941 | |
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| No log | 2.0 | 270 | 3.3026 | 40.1748 | 11.7944 | 23.2655 | 36.4718 | 146.8529 | |
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| No log | 3.0 | 405 | 3.5199 | 39.8209 | 12.1621 | 22.7772 | 36.4967 | 141.7647 | |
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| 2.2131 | 4.0 | 540 | 4.0508 | 40.4325 | 11.6547 | 22.9958 | 36.8782 | 131.4412 | |
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| 2.2131 | 5.0 | 675 | 4.6988 | 38.4097 | 9.8309 | 20.3894 | 34.1967 | 145.9706 | |
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| 2.2131 | 6.0 | 810 | 4.9590 | 38.5758 | 9.6335 | 20.865 | 35.0321 | 169.2353 | |
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| 2.2131 | 7.0 | 945 | 5.4264 | 38.2813 | 9.5764 | 21.1406 | 34.5989 | 148.0294 | |
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| 0.401 | 8.0 | 1080 | 5.4887 | 38.3014 | 9.6881 | 21.2398 | 34.1584 | 139.3529 | |
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| 0.401 | 9.0 | 1215 | 5.8044 | 39.9603 | 10.4329 | 22.6895 | 36.2406 | 145.2353 | |
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| 0.401 | 10.0 | 1350 | 5.8987 | 39.0928 | 10.8408 | 21.9138 | 35.5067 | 138.7941 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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