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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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model-index:
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- name: byt5-small-cmudict
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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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# byt5-small-cmudict
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This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0802
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- Per: 0.1151
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- Gen Len: 14.6046
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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: 0.0002
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- train_batch_size: 128
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Per | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| 1.1569 | 1.0 | 845 | 0.1433 | 0.1751 | 14.5711 |
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| 0.1409 | 2.0 | 1690 | 0.1049 | 0.1383 | 14.5844 |
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| 0.1073 | 3.0 | 2535 | 0.0901 | 0.1281 | 14.6058 |
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| 0.0927 | 4.0 | 3380 | 0.0855 | 0.1237 | 14.5798 |
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| 0.0833 | 5.0 | 4225 | 0.0839 | 0.1207 | 14.6139 |
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| 0.0762 | 6.0 | 5070 | 0.0809 | 0.118 | 14.5913 |
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| 0.0707 | 7.0 | 5915 | 0.0810 | 0.1171 | 14.6055 |
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| 0.0667 | 8.0 | 6760 | 0.0796 | 0.1166 | 14.6025 |
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| 0.0638 | 9.0 | 7605 | 0.0793 | 0.115 | 14.6115 |
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| 0.0609 | 10.0 | 8450 | 0.0802 | 0.1151 | 14.6046 |
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### Framework versions
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- Transformers 4.28.0.dev0
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- Pytorch 1.13.1+cu117
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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