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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_v2_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_v2_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: 0.5576 |
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- Sacrebleu: 66.4785 |
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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: 3e-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: 40 |
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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 | 0.5576 | 66.4785 | |
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| No log | 2.0 | 219 | 0.5702 | 67.0151 | |
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| No log | 3.0 | 328 | 0.6206 | 66.8798 | |
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| No log | 4.0 | 438 | 0.5778 | 66.8869 | |
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| No log | 5.0 | 547 | 0.6484 | 66.8013 | |
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| No log | 6.0 | 657 | 0.6747 | 66.6138 | |
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| No log | 7.0 | 766 | 0.7132 | 66.6173 | |
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| No log | 8.0 | 876 | 0.6951 | 66.4205 | |
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| No log | 9.0 | 985 | 0.7322 | 66.3405 | |
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| No log | 10.0 | 1095 | 0.7953 | 66.5709 | |
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| No log | 11.0 | 1204 | 0.8137 | 66.5324 | |
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| No log | 12.0 | 1314 | 0.8207 | 66.4973 | |
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| No log | 13.0 | 1423 | 0.8155 | 66.4712 | |
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| No log | 14.0 | 1533 | 0.8471 | 66.3456 | |
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| No log | 15.0 | 1642 | 0.8629 | 66.5794 | |
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| No log | 16.0 | 1752 | 0.9267 | 66.4444 | |
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| No log | 17.0 | 1861 | 0.9317 | 66.5137 | |
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| No log | 18.0 | 1971 | 0.9020 | 66.6691 | |
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| No log | 19.0 | 2080 | 0.9256 | 66.6756 | |
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| No log | 20.0 | 2190 | 0.9645 | 66.5470 | |
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| No log | 21.0 | 2299 | 1.0415 | 66.7197 | |
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| No log | 22.0 | 2409 | 1.1270 | 66.7086 | |
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| No log | 23.0 | 2518 | 1.0326 | 66.7326 | |
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| No log | 24.0 | 2628 | 1.0989 | 66.7648 | |
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| No log | 25.0 | 2737 | 1.0835 | 66.4847 | |
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| No log | 26.0 | 2847 | 1.1915 | 66.7088 | |
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| No log | 27.0 | 2956 | 1.0516 | 66.6612 | |
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| No log | 28.0 | 3066 | 1.1104 | 66.6799 | |
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| No log | 29.0 | 3175 | 1.1811 | 66.6797 | |
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| No log | 30.0 | 3285 | 1.1143 | 66.7554 | |
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| No log | 31.0 | 3394 | 1.0420 | 66.6538 | |
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| No log | 32.0 | 3504 | 1.0547 | 66.6668 | |
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| No log | 33.0 | 3613 | 1.0992 | 66.5995 | |
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| No log | 34.0 | 3723 | 1.0931 | 66.6379 | |
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| No log | 35.0 | 3832 | 1.0891 | 66.7616 | |
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| No log | 36.0 | 3942 | 1.1421 | 66.7893 | |
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| No log | 37.0 | 4051 | 1.1487 | 66.7630 | |
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| No log | 38.0 | 4161 | 1.1538 | 66.7861 | |
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| No log | 39.0 | 4270 | 1.1793 | 66.7983 | |
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| No log | 39.82 | 4360 | 1.1620 | 66.7433 | |
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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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