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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- summarization |
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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: mt5-small-synthetic-data-plus-translated-bs32 |
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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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# mt5-small-synthetic-data-plus-translated-bs32 |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8369 |
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- Rouge1: 0.6206 |
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- Rouge2: 0.4859 |
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- Rougel: 0.5972 |
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- Rougelsum: 0.5979 |
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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: 5.6e-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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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 19.4785 | 1.0 | 38 | 11.5404 | 0.0055 | 0.0008 | 0.0051 | 0.0051 | |
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| 11.9977 | 2.0 | 76 | 6.4079 | 0.0101 | 0.0015 | 0.0089 | 0.0094 | |
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| 7.5027 | 3.0 | 114 | 3.0626 | 0.0542 | 0.0093 | 0.0482 | 0.0487 | |
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| 4.8939 | 4.0 | 152 | 2.2496 | 0.0492 | 0.0182 | 0.0429 | 0.0437 | |
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| 3.64 | 5.0 | 190 | 1.7984 | 0.1870 | 0.0826 | 0.1598 | 0.1601 | |
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| 2.8662 | 6.0 | 228 | 1.4518 | 0.1852 | 0.0916 | 0.1653 | 0.1659 | |
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| 2.4493 | 7.0 | 266 | 1.3124 | 0.4183 | 0.2586 | 0.4014 | 0.4026 | |
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| 2.1362 | 8.0 | 304 | 1.2444 | 0.4386 | 0.2716 | 0.4176 | 0.4196 | |
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| 1.9923 | 9.0 | 342 | 1.1876 | 0.4587 | 0.3034 | 0.4387 | 0.4404 | |
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| 1.8438 | 10.0 | 380 | 1.1486 | 0.5198 | 0.3637 | 0.4979 | 0.4988 | |
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| 1.7212 | 11.0 | 418 | 1.1031 | 0.5402 | 0.3848 | 0.5160 | 0.5169 | |
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| 1.6315 | 12.0 | 456 | 1.0707 | 0.5556 | 0.3999 | 0.5325 | 0.5341 | |
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| 1.5623 | 13.0 | 494 | 1.0437 | 0.5808 | 0.4309 | 0.5583 | 0.5593 | |
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| 1.5269 | 14.0 | 532 | 1.0188 | 0.5986 | 0.4540 | 0.5773 | 0.5772 | |
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| 1.4668 | 15.0 | 570 | 0.9982 | 0.5922 | 0.4511 | 0.5731 | 0.5737 | |
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| 1.4357 | 16.0 | 608 | 0.9777 | 0.5965 | 0.4549 | 0.5768 | 0.5773 | |
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| 1.3684 | 17.0 | 646 | 0.9623 | 0.6123 | 0.4722 | 0.5901 | 0.5907 | |
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| 1.3675 | 18.0 | 684 | 0.9461 | 0.6135 | 0.4771 | 0.5915 | 0.5919 | |
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| 1.3285 | 19.0 | 722 | 0.9324 | 0.6150 | 0.4754 | 0.5916 | 0.5918 | |
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| 1.288 | 20.0 | 760 | 0.9271 | 0.6179 | 0.4803 | 0.5964 | 0.5968 | |
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| 1.2529 | 21.0 | 798 | 0.9129 | 0.6156 | 0.4789 | 0.5939 | 0.5940 | |
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| 1.2216 | 22.0 | 836 | 0.9017 | 0.6163 | 0.4817 | 0.5941 | 0.5941 | |
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| 1.2322 | 23.0 | 874 | 0.8948 | 0.6208 | 0.4839 | 0.5985 | 0.5986 | |
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| 1.2062 | 24.0 | 912 | 0.8838 | 0.6139 | 0.4778 | 0.5904 | 0.5912 | |
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| 1.1642 | 25.0 | 950 | 0.8761 | 0.6150 | 0.4818 | 0.5939 | 0.5951 | |
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| 1.1699 | 26.0 | 988 | 0.8759 | 0.6152 | 0.4794 | 0.5929 | 0.5932 | |
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| 1.1428 | 27.0 | 1026 | 0.8662 | 0.6158 | 0.4806 | 0.5935 | 0.5946 | |
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| 1.195 | 28.0 | 1064 | 0.8609 | 0.6126 | 0.4758 | 0.5898 | 0.5908 | |
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| 1.1619 | 29.0 | 1102 | 0.8568 | 0.6152 | 0.4776 | 0.5924 | 0.5936 | |
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| 1.1172 | 30.0 | 1140 | 0.8548 | 0.6181 | 0.4788 | 0.5951 | 0.5964 | |
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| 1.1141 | 31.0 | 1178 | 0.8526 | 0.6148 | 0.4766 | 0.5904 | 0.5914 | |
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| 1.1176 | 32.0 | 1216 | 0.8488 | 0.6201 | 0.4834 | 0.5963 | 0.5972 | |
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| 1.0959 | 33.0 | 1254 | 0.8475 | 0.6225 | 0.4847 | 0.5983 | 0.5993 | |
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| 1.0954 | 34.0 | 1292 | 0.8437 | 0.6220 | 0.4859 | 0.5987 | 0.5986 | |
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| 1.0844 | 35.0 | 1330 | 0.8420 | 0.6206 | 0.4851 | 0.5969 | 0.5974 | |
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| 1.1041 | 36.0 | 1368 | 0.8398 | 0.6222 | 0.4865 | 0.5991 | 0.5992 | |
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| 1.0736 | 37.0 | 1406 | 0.8386 | 0.6225 | 0.4867 | 0.5991 | 0.6001 | |
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| 1.0816 | 38.0 | 1444 | 0.8376 | 0.6229 | 0.4871 | 0.5994 | 0.6001 | |
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| 1.0537 | 39.0 | 1482 | 0.8372 | 0.6242 | 0.4876 | 0.6004 | 0.6013 | |
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| 1.092 | 40.0 | 1520 | 0.8369 | 0.6206 | 0.4859 | 0.5972 | 0.5979 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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