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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-reverse
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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-reverse
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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: 1.2416
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- Rouge1: 30.9064
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- Rouge2: 15.5474
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- Rougel: 30.6746
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- Rougelsum: 30.691
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- Gen Len: 4.8282
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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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| 1.6872 | 1.0 | 2515 | 1.3202 | 28.8555 | 13.7602 | 28.6841 | 28.7043 | 4.6996 |
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| 1.5052 | 2.0 | 5030 | 1.2561 | 30.5921 | 15.3773 | 30.3685 | 30.3818 | 4.8390 |
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| 1.5144 | 3.0 | 7545 | 1.2416 | 30.9064 | 15.5474 | 30.6746 | 30.691 | 4.8282 |
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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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