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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: barthez-deft-archeologie |
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results: |
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- task: |
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name: Summarization |
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type: summarization |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 37.1845 |
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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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# barthez-deft-archeologie |
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This model is a fine-tuned version of [moussaKam/barthez](https://huggingface.co/moussaKam/barthez) on an unknown dataset. |
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**Note**: this model is one of the preliminary experiments and it underperforms the models published in the paper (using [MBartHez](https://huggingface.co/moussaKam/mbarthez) and HAL/Wiki pre-training + copy mechanisms) |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0733 |
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- Rouge1: 37.1845 |
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- Rouge2: 16.9534 |
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- Rougel: 28.8416 |
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- Rougelsum: 29.077 |
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- Gen Len: 34.4028 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 20.0 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 3.4832 | 1.0 | 108 | 2.4237 | 22.6662 | 10.009 | 19.8729 | 19.8814 | 15.8333 | |
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| 2.557 | 2.0 | 216 | 2.2328 | 24.8102 | 11.9911 | 20.4773 | 20.696 | 19.0139 | |
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| 2.2702 | 3.0 | 324 | 2.2002 | 25.6482 | 11.6191 | 21.8383 | 21.9341 | 18.1944 | |
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| 2.1119 | 4.0 | 432 | 2.1266 | 25.5806 | 11.9765 | 21.3973 | 21.3503 | 19.4306 | |
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| 1.9582 | 5.0 | 540 | 2.1072 | 25.6578 | 12.2709 | 22.182 | 22.0548 | 19.1528 | |
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| 1.8137 | 6.0 | 648 | 2.1008 | 26.5272 | 11.4033 | 22.359 | 22.3259 | 19.4722 | |
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| 1.7725 | 7.0 | 756 | 2.1074 | 25.0405 | 11.1773 | 21.1369 | 21.1847 | 19.1806 | |
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| 1.6772 | 8.0 | 864 | 2.0959 | 26.5237 | 11.6028 | 22.5018 | 22.3931 | 19.3333 | |
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| 1.5798 | 9.0 | 972 | 2.0976 | 27.7443 | 11.9898 | 22.4052 | 22.2954 | 19.7222 | |
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| 1.4753 | 10.0 | 1080 | 2.0733 | 28.3502 | 12.9162 | 22.6352 | 22.6015 | 19.8194 | |
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| 1.4646 | 11.0 | 1188 | 2.1091 | 27.9198 | 12.8591 | 23.0718 | 23.0779 | 19.6111 | |
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| 1.4082 | 12.0 | 1296 | 2.1036 | 28.8509 | 13.0987 | 23.4189 | 23.5044 | 19.4861 | |
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| 1.2862 | 13.0 | 1404 | 2.1222 | 28.6641 | 12.8157 | 22.6799 | 22.7051 | 19.8611 | |
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| 1.2612 | 14.0 | 1512 | 2.1487 | 26.9709 | 11.6084 | 22.0312 | 22.0543 | 19.875 | |
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| 1.2327 | 15.0 | 1620 | 2.1808 | 28.218 | 12.6239 | 22.7372 | 22.7881 | 19.7361 | |
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| 1.2264 | 16.0 | 1728 | 2.1778 | 26.7393 | 11.4474 | 21.6057 | 21.555 | 19.7639 | |
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| 1.1848 | 17.0 | 1836 | 2.1995 | 27.6902 | 12.1082 | 22.0406 | 22.0101 | 19.6806 | |
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| 1.133 | 18.0 | 1944 | 2.2038 | 27.0402 | 12.1846 | 21.7793 | 21.7513 | 19.8056 | |
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| 1.168 | 19.0 | 2052 | 2.2116 | 27.5149 | 11.9876 | 22.1113 | 22.1527 | 19.7222 | |
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| 1.1206 | 20.0 | 2160 | 2.2133 | 28.2321 | 12.677 | 22.749 | 22.8485 | 19.5972 | |
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### Framework versions |
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- Transformers 4.10.2 |
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- Pytorch 1.7.1+cu110 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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