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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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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
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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-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
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+
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+ This model is a fine-tuned version of [Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210](https://huggingface.co/Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0046
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+ - Bleu: 17.7500
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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: 2e-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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu |
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+ |:-------------:|:-----:|:------:|:---------------:|:-------:|
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+ | 2.4438 | 1.0 | 33611 | 2.0445 | 16.6555 |
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+ | 2.3878 | 2.0 | 67222 | 2.0143 | 17.3884 |
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+ | 2.3861 | 3.0 | 100833 | 2.0046 | 17.7500 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.1
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+ - Pytorch 1.13.1+cu116
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+ - Datasets 2.9.0
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+ - Tokenizers 0.13.2