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update model card README.md
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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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<!-- 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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# mt5-small-finetuned-multilingual-xlsum-new
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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: 2.7679
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- Rouge1: 9.1993
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- Rouge2: 2.3416
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- Rougel: 7.6684
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- Rougelsum: 7.7074
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 3.9684 | 1.0 | 1687 | 2.8902 | 8.0531 | 1.8357 | 6.7234 | 6.7401 |
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| 3.62 | 2.0 | 3374 | 2.8486 | 8.4881 | 2.0178 | 7.0542 | 7.0854 |
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| 3.3765 | 3.0 | 5061 | 2.7986 | 8.7796 | 2.2342 | 7.3363 | 7.3645 |
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| 3.5043 | 4.0 | 6748 | 2.7677 | 9.0486 | 2.3099 | 7.5493 | 7.5685 |
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| 3.338 | 5.0 | 8435 | 2.7679 | 9.1993 | 2.3416 | 7.6684 | 7.7074 |
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### Framework versions
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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
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