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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-base |
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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: t5-ie-budquo-finetuned |
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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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# t5-ie-budquo-finetuned |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0376 |
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- Rouge1: 0.1256 |
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- Rouge2: 0.1059 |
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- Rougel: 0.1253 |
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- Rougelsum: 0.1250 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 3 |
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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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| 0.1216 | 0.9995 | 551 | 0.0391 | 0.1297 | 0.1077 | 0.1294 | 0.1297 | |
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| 0.0418 | 1.9991 | 1102 | 0.0176 | 0.1310 | 0.1114 | 0.1310 | 0.1312 | |
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| 0.0277 | 2.9986 | 1653 | 0.0141 | 0.1311 | 0.1117 | 0.1314 | 0.1313 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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