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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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- 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-km-phoneme
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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-km-phoneme
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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: 0.5647
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- Rouge1: 86.1261
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- Rouge2: 75.069
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- Rougel: 85.8365
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- Rougelsum: 85.8199
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- Gen Len: 9.4504
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 1.0708 | 1.0 | 2514 | 0.7873 | 81.0997 | 66.3068 | 80.6177 | 80.6219 | 9.3808 |
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| 0.8576 | 2.0 | 5028 | 0.6091 | 85.158 | 73.3987 | 84.8532 | 84.8374 | 9.4117 |
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| 0.813 | 3.0 | 7542 | 0.5647 | 86.1261 | 75.069 | 85.8365 | 85.8199 | 9.4504 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu117
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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