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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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tags: |
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- text2text-generation |
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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: model_v5_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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# model_v5_v2 |
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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: 0.5446 |
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- Sacrebleu: 66.8833 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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 | Sacrebleu | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| No log | 1.0 | 109 | 0.5768 | 65.2132 | |
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| No log | 2.0 | 219 | 0.5885 | 66.1069 | |
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| No log | 3.0 | 328 | 0.5681 | 66.6363 | |
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| No log | 4.0 | 438 | 0.5766 | 66.7355 | |
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| No log | 5.0 | 547 | 0.5446 | 66.8833 | |
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| No log | 6.0 | 657 | 0.5664 | 66.9772 | |
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| No log | 7.0 | 766 | 0.5890 | 67.0638 | |
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| No log | 8.0 | 876 | 0.6305 | 67.0642 | |
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| No log | 9.0 | 985 | 0.6091 | 67.0855 | |
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| No log | 10.0 | 1095 | 0.5990 | 67.1479 | |
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| No log | 11.0 | 1204 | 0.6375 | 67.0056 | |
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| No log | 12.0 | 1314 | 0.6182 | 67.0154 | |
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| No log | 13.0 | 1423 | 0.6216 | 66.9095 | |
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| No log | 14.0 | 1533 | 0.6204 | 67.1035 | |
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| No log | 15.0 | 1642 | 0.6623 | 66.8847 | |
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| No log | 16.0 | 1752 | 0.6614 | 67.0027 | |
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| No log | 17.0 | 1861 | 0.6801 | 66.9272 | |
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| No log | 18.0 | 1971 | 0.6500 | 66.9428 | |
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| No log | 19.0 | 2080 | 0.6529 | 66.8661 | |
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| No log | 19.91 | 2180 | 0.6514 | 66.8420 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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