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Training complete

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README.md ADDED
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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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+ - 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-small-finetuned-amazon-en-es
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+ results: []
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+ ---
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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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+
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+ # mt5-small-finetuned-amazon-en-es
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+
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+ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0361
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+ - Rouge1: 16.5633
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+ - Rouge2: 7.8215
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+ - Rougel: 16.1196
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+ - Rougelsum: 16.1733
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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_FUSED 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 7.2216 | 1.0 | 1209 | 3.2970 | 13.3481 | 5.5941 | 13.1485 | 13.1056 |
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+ | 3.9167 | 2.0 | 2418 | 3.1679 | 16.1864 | 7.5841 | 15.64 | 15.829 |
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+ | 3.5934 | 3.0 | 3627 | 3.1141 | 17.8204 | 8.7044 | 17.1378 | 17.2288 |
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+ | 3.4304 | 4.0 | 4836 | 3.0893 | 17.0632 | 8.4519 | 16.3722 | 16.4902 |
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+ | 3.3234 | 5.0 | 6045 | 3.0502 | 17.6037 | 8.5541 | 17.0038 | 17.1642 |
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+ | 3.2554 | 6.0 | 7254 | 3.0455 | 17.5434 | 8.4389 | 17.0173 | 17.0904 |
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+ | 3.2126 | 7.0 | 8463 | 3.0374 | 17.0439 | 8.0657 | 16.5776 | 16.6909 |
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+ | 3.1864 | 8.0 | 9672 | 3.0361 | 16.5633 | 7.8215 | 16.1196 | 16.1733 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.3
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+ - Pytorch 2.9.1+cu130
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+ - Datasets 3.6.0
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+ - Tokenizers 0.22.1
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