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--- |
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license: mit |
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base_model: facebook/bart-large-cnn |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Bart |
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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 |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4379 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 20 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 32 | 1.9039 | |
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| No log | 2.0 | 64 | 1.9118 | |
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| No log | 3.0 | 96 | 1.9611 | |
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| No log | 4.0 | 128 | 2.1126 | |
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| No log | 5.0 | 160 | 2.3234 | |
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| No log | 6.0 | 192 | 2.5468 | |
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| No log | 7.0 | 224 | 2.6987 | |
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| No log | 8.0 | 256 | 2.8041 | |
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| No log | 9.0 | 288 | 2.9329 | |
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| No log | 10.0 | 320 | 3.0530 | |
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| No log | 11.0 | 352 | 3.1344 | |
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| No log | 12.0 | 384 | 3.1571 | |
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| No log | 13.0 | 416 | 3.2308 | |
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| No log | 14.0 | 448 | 3.3060 | |
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| No log | 15.0 | 480 | 3.3254 | |
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| 0.55 | 16.0 | 512 | 3.3449 | |
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| 0.55 | 17.0 | 544 | 3.3627 | |
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| 0.55 | 18.0 | 576 | 3.4195 | |
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| 0.55 | 19.0 | 608 | 3.4282 | |
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| 0.55 | 20.0 | 640 | 3.4379 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu118 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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