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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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+ - multilingual model
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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-multilingual-xlsum-new
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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-multilingual-xlsum-new
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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: 2.7673
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+ - Rouge1: 9.1368
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+ - Rouge2: 2.3893
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+ - Rougel: 7.6599
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+ - Rougelsum: 7.6873
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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: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 16
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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: 5
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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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+ | 3.7827 | 1.0 | 1687 | 2.8911 | 8.1314 | 1.9569 | 6.7927 | 6.8179 |
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+ | 3.6518 | 2.0 | 3374 | 2.8338 | 8.6621 | 2.1437 | 7.2171 | 7.246 |
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+ | 3.3691 | 3.0 | 5061 | 2.8015 | 8.9402 | 2.2733 | 7.4744 | 7.497 |
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+ | 3.4435 | 4.0 | 6748 | 2.7746 | 9.0514 | 2.3627 | 7.6144 | 7.6358 |
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+ | 3.5139 | 5.0 | 8435 | 2.7673 | 9.1368 | 2.3893 | 7.6599 | 7.6873 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.21.1
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+ - Pytorch 1.12.1
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+ - Datasets 2.4.0
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+ - Tokenizers 0.12.1