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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_msmarco_bart_large |
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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_msmarco_bart_large |
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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: 0.8042 |
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- Bleu: 70.172 |
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- Gen Len: 10.3243 |
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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: 128 |
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- eval_batch_size: 128 |
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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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| 2.96 | 1.0 | 515 | 1.7686 | 33.692 | 11.1826 | |
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| 1.5254 | 2.0 | 1030 | 1.2312 | 54.1545 | 10.2574 | |
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| 1.0521 | 3.0 | 1545 | 1.0201 | 62.9221 | 10.3148 | |
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| 0.8446 | 4.0 | 2060 | 0.8635 | 67.2188 | 10.3663 | |
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| 0.7339 | 5.0 | 2575 | 0.8200 | 69.3947 | 10.354 | |
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| 0.6745 | 6.0 | 3090 | 0.8042 | 70.172 | 10.3243 | |
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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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