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--- |
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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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model-index: |
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- name: Instruct-PTBR-ENUS-11M |
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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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# Instruct-PTBR-ENUS-11M |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co./google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 20.5681 |
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- eval_rouge1: 2.8676 |
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- eval_rouge2: 0.8599 |
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- eval_rougeL: 2.7183 |
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- eval_rougeLsum: 2.7447 |
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- eval_runtime: 80.5817 |
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- eval_samples_per_second: 31.024 |
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- eval_steps_per_second: 3.884 |
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- step: 0 |
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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: 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: 8 |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 1.10.1+cu113 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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