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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: 2.7436
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+ - Rouge1: 9.3908
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+ - Rouge2: 2.5077
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+ - Rougel: 7.8615
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+ - Rougelsum: 7.8745
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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: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 8
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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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+ | 3.8301 | 1.0 | 3375 | 2.8828 | 8.1957 | 1.9439 | 6.8031 | 6.8206 |
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+ | 3.4032 | 2.0 | 6750 | 2.8049 | 8.9533 | 2.2919 | 7.4137 | 7.4244 |
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+ | 3.3697 | 3.0 | 10125 | 2.7743 | 9.3366 | 2.4531 | 7.8129 | 7.8276 |
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+ | 3.3862 | 4.0 | 13500 | 2.7500 | 9.4377 | 2.542 | 7.9123 | 7.9268 |
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+ | 3.1704 | 5.0 | 16875 | 2.7436 | 9.3908 | 2.5077 | 7.8615 | 7.8745 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.19.2
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.2.1
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+ - Tokenizers 0.12.1