akshat3492
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Training complete
Browse files- README.md +22 -13
- pytorch_model.bin +1 -1
README.md
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tags:
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- summarization
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- generated_from_trainer
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model-index:
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- name: mT5
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results: []
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# mT5
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the
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It achieves the following results on the evaluation set:
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- eval_runtime: 80.7804
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- eval_samples_per_second: 0.619
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- eval_steps_per_second: 0.087
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- epoch: 3.0
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- step: 939
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Framework versions
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- Transformers 4.32.1
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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
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results: []
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# mT5
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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: 2.7797
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- Rouge1: 17.5958
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- Rouge2: 5.5502
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- Rougel: 14.89
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- Rougelsum: 15.8861
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 8
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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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| 6.7587 | 1.0 | 313 | 3.0537 | 15.5845 | 4.426 | 12.7262 | 13.9385 |
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| 3.6224 | 2.0 | 626 | 2.8799 | 16.4339 | 4.8534 | 13.3138 | 14.9449 |
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| 3.3322 | 3.0 | 939 | 2.8378 | 18.1043 | 6.2202 | 15.376 | 16.5012 |
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| 3.1974 | 4.0 | 1252 | 2.8008 | 17.8905 | 5.7529 | 15.0379 | 16.3205 |
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| 3.1183 | 5.0 | 1565 | 2.7936 | 17.7318 | 5.4565 | 14.8508 | 15.9979 |
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| 3.0522 | 6.0 | 1878 | 2.7824 | 17.6328 | 5.5352 | 14.7803 | 15.8202 |
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| 3.019 | 7.0 | 2191 | 2.7846 | 17.7348 | 5.4391 | 14.7499 | 15.8859 |
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| 2.9889 | 8.0 | 2504 | 2.7797 | 17.5958 | 5.5502 | 14.89 | 15.8861 |
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### Framework versions
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- Transformers 4.32.1
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pytorch_model.bin
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size 1200769925
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