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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-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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results: [] |
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datasets: |
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- xonic48/amazon_review_multi |
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language: |
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- en |
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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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# results |
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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: 0.0001 |
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- eval_model_preparation_time: 0.0049 |
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- eval_rouge1: 99.9541 |
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- eval_rouge2: 87.8299 |
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- eval_rougeL: 99.9541 |
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- eval_rougeLsum: 99.9541 |
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- eval_runtime: 2.9907 |
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- eval_samples_per_second: 22.068 |
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- eval_steps_per_second: 3.009 |
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- step: 0 |
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## Model description |
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We have fine tuned google/mt5-small model on xonic48 amazon review data |
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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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We reduced the dataset to 20%, and selected data in english language, and then filtered it for book reviews. |
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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: 5e-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 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: 3 |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
