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  1. README.md +72 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0317
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+ - Rouge1: 16.7841
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+ - Rouge2: 7.5923
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+ - Rougel: 16.3966
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+ - Rougelsum: 16.4835
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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 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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+
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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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+ | 6.5836 | 1.0 | 1209 | 3.3101 | 15.1215 | 5.97 | 14.6831 | 14.7033 |
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+ | 3.9149 | 2.0 | 2418 | 3.1711 | 17.272 | 8.5255 | 16.8357 | 16.9754 |
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+ | 3.5897 | 3.0 | 3627 | 3.1031 | 17.2062 | 8.8101 | 16.704 | 16.7685 |
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+ | 3.4085 | 4.0 | 4836 | 3.0744 | 17.5033 | 8.5182 | 16.977 | 17.1305 |
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+ | 3.3123 | 5.0 | 6045 | 3.0542 | 17.5048 | 8.1755 | 16.9628 | 17.0698 |
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+ | 3.2467 | 6.0 | 7254 | 3.0375 | 17.1634 | 7.9483 | 16.6977 | 16.8717 |
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+ | 3.2043 | 7.0 | 8463 | 3.0282 | 17.1609 | 8.0724 | 16.7818 | 16.9188 |
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+ | 3.1836 | 8.0 | 9672 | 3.0317 | 16.7841 | 7.5923 | 16.3966 | 16.4835 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.46.3"
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+ }
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