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update model card README.md

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+ ---
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+ license: apache-2.0
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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: 3.1185
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+ - Rouge1: 17.2081
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+ - Rouge2: 8.8374
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+ - Rougel: 16.8033
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+ - Rougelsum: 16.663
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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: 32
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+ - eval_batch_size: 32
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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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+
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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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+ | No log | 1.0 | 303 | 3.9821 | 8.3993 | 2.0894 | 8.1427 | 8.135 |
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+ | No log | 2.0 | 606 | 3.3511 | 13.1381 | 5.7193 | 12.8494 | 12.8375 |
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+ | No log | 3.0 | 909 | 3.2235 | 15.2502 | 6.5903 | 14.728 | 14.612 |
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+ | 5.8943 | 4.0 | 1212 | 3.1695 | 16.1725 | 8.1638 | 15.7655 | 15.6068 |
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+ | 5.8943 | 5.0 | 1515 | 3.1579 | 16.3126 | 7.9727 | 15.8308 | 15.7236 |
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+ | 5.8943 | 6.0 | 1818 | 3.1346 | 16.8323 | 8.088 | 16.3863 | 16.3343 |
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+ | 5.8943 | 7.0 | 2121 | 3.1181 | 16.965 | 8.5799 | 16.6418 | 16.5064 |
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+ | 3.7097 | 8.0 | 2424 | 3.1185 | 17.2081 | 8.8374 | 16.8033 | 16.663 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.15.0
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+ - Pytorch 1.10.1
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+ - Datasets 1.17.0
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+ - Tokenizers 0.10.3