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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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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: emnlp_test_9clusters_combined_bart_large_200k |
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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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# emnlp_test_9clusters_combined_bart_large_200k |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4843 |
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- Bleu: 86.9507 |
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- Gen Len: 10.8804 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 6 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.5265 | 1.0 | 5605 | 0.6332 | 79.0951 | 10.8681 | |
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| 0.3437 | 2.0 | 11210 | 0.4387 | 83.6164 | 10.9593 | |
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| 0.2586 | 3.0 | 16815 | 0.4504 | 85.3036 | 10.8776 | |
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| 0.2168 | 4.0 | 22420 | 0.3906 | 86.0988 | 10.97 | |
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| 0.1835 | 5.0 | 28025 | 0.4560 | 86.677 | 10.893 | |
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| 0.1665 | 6.0 | 33630 | 0.4843 | 86.9507 | 10.8804 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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