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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: mt5-large_V8901_V89881_V17542 |
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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-large_V8901_V89881_V17542 |
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This model is a fine-tuned version of [emilstabil/mt5-large_V8901_V89881](https://huggingface.co/emilstabil/mt5-large_V8901_V89881) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7588 |
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- Rouge1: 27.8059 |
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- Rouge2: 10.1962 |
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- Rougel: 15.3479 |
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- Rougelsum: 26.1829 |
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- Gen Len: 540.9451 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 11 |
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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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| 1.871 | 2.11 | 500 | 1.7570 | 27.3094 | 9.9205 | 15.0662 | 25.6006 | 544.1983 | |
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| 1.7982 | 4.21 | 1000 | 1.7661 | 27.6824 | 9.8242 | 15.2022 | 25.9032 | 537.4388 | |
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| 1.7311 | 6.32 | 1500 | 1.7713 | 27.3113 | 9.6774 | 14.9355 | 25.6303 | 539.827 | |
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| 1.7432 | 8.42 | 2000 | 1.7636 | 27.8775 | 10.0766 | 15.1629 | 26.1014 | 537.5359 | |
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| 1.7775 | 10.53 | 2500 | 1.7588 | 27.8059 | 10.1962 | 15.3479 | 26.1829 | 540.9451 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.12.1+git7548e2f |
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- Datasets 2.13.2 |
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- Tokenizers 0.13.3 |
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