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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_nobos |
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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_nobos |
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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: 3.1325 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | 16 | 1.8701 | |
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| No log | 2.0 | 32 | 1.8565 | |
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| No log | 3.0 | 48 | 1.8991 | |
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| No log | 4.0 | 64 | 2.0343 | |
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| No log | 5.0 | 80 | 2.1420 | |
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| No log | 6.0 | 96 | 2.2855 | |
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| No log | 7.0 | 112 | 2.4398 | |
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| No log | 8.0 | 128 | 2.5599 | |
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| No log | 9.0 | 144 | 2.6860 | |
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| No log | 10.0 | 160 | 2.7219 | |
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| No log | 11.0 | 176 | 2.8293 | |
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| No log | 12.0 | 192 | 2.9307 | |
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| No log | 13.0 | 208 | 2.9679 | |
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| No log | 14.0 | 224 | 3.0043 | |
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| No log | 15.0 | 240 | 3.0355 | |
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| No log | 16.0 | 256 | 3.0918 | |
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| No log | 17.0 | 272 | 3.0862 | |
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| No log | 18.0 | 288 | 3.1294 | |
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| No log | 19.0 | 304 | 3.1342 | |
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| No log | 20.0 | 320 | 3.1325 | |
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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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