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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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- 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-finetuned-summarize
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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-finetuned-summarize
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2613
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- Rouge1: 2.1127
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- Rouge2: 0.0
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- Rougel: 2.1127
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- Rougelsum: 2.1127
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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: 8
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- eval_batch_size: 8
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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: 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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| 5.8246 | 1.0 | 159 | 1.4914 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
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| 1.4676 | 2.0 | 318 | 0.4395 | 1.6432 | 0.0 | 1.8779 | 1.8779 |
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| 0.6332 | 3.0 | 477 | 0.3840 | 1.6432 | 0.0 | 1.8779 | 1.8779 |
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| 0.4717 | 4.0 | 636 | 0.3274 | 1.6432 | 0.0 | 1.8779 | 1.8779 |
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| 0.3878 | 5.0 | 795 | 0.3058 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
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| 0.3826 | 6.0 | 954 | 0.2466 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
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| 0.3243 | 7.0 | 1113 | 0.2535 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
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| 0.2976 | 8.0 | 1272 | 0.2613 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
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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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