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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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model-index: |
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- name: bart-dnc-booksum |
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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-dnc-booksum |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.5809 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 40 |
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- num_epochs: 5 |
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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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| 0.7554 | 0.16 | 150 | 4.3521 | |
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| 0.3115 | 0.32 | 300 | 4.9631 | |
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| 0.3536 | 0.48 | 450 | 4.8518 | |
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| 0.3419 | 0.64 | 600 | 4.8791 | |
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| 0.2082 | 0.8 | 750 | 5.8989 | |
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| 0.3123 | 0.97 | 900 | 4.8499 | |
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| 0.1517 | 1.13 | 1050 | 5.3516 | |
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| 0.2184 | 1.29 | 1200 | 5.5229 | |
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| 0.217 | 1.45 | 1350 | 5.7270 | |
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| 0.1375 | 1.61 | 1500 | 5.5408 | |
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| 0.1506 | 1.77 | 1650 | 5.3878 | |
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| 0.1904 | 1.93 | 1800 | 5.0405 | |
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| 0.0956 | 2.09 | 1950 | 6.0605 | |
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| 0.0856 | 2.25 | 2100 | 6.1505 | |
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| 0.1206 | 2.41 | 2250 | 5.4903 | |
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| 0.0872 | 2.58 | 2400 | 5.4324 | |
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| 0.1456 | 2.74 | 2550 | 6.1430 | |
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| 0.0848 | 2.9 | 2700 | 5.3999 | |
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| 0.079 | 3.06 | 2850 | 6.0992 | |
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| 0.0706 | 3.22 | 3000 | 6.2144 | |
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| 0.0768 | 3.38 | 3150 | 6.2338 | |
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| 0.0643 | 3.54 | 3300 | 6.0533 | |
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| 0.0576 | 3.7 | 3450 | 5.9912 | |
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| 0.0859 | 3.86 | 3600 | 6.3768 | |
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| 0.0615 | 4.02 | 3750 | 6.1106 | |
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| 0.072 | 4.19 | 3900 | 6.5398 | |
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| 0.0683 | 4.35 | 4050 | 6.5556 | |
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| 0.077 | 4.51 | 4200 | 6.6243 | |
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| 0.0811 | 4.67 | 4350 | 6.5221 | |
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| 0.0591 | 4.83 | 4500 | 6.5732 | |
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| 0.0699 | 4.99 | 4650 | 6.5809 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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