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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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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 |
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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 |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2540 |
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- Bleu: 47.8433 |
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- Gen Len: 10.199 |
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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: 256 |
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- eval_batch_size: 256 |
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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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| No log | 1.0 | 258 | 2.6072 | 17.3158 | 10.2598 | |
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| 3.0968 | 2.0 | 516 | 1.9501 | 29.2696 | 10.5689 | |
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| 3.0968 | 3.0 | 774 | 1.5769 | 38.3469 | 10.4586 | |
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| 1.911 | 4.0 | 1032 | 1.3777 | 44.1139 | 10.2272 | |
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| 1.911 | 5.0 | 1290 | 1.2820 | 46.7911 | 10.2506 | |
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| 1.5443 | 6.0 | 1548 | 1.2540 | 47.8433 | 10.199 | |
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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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