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---
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library_name: transformers
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license: apache-2.0
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base_model: google/mt5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: mt5-small-spelling_aws
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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-spelling_aws
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 8.1457
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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: 0.0001
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- train_batch_size: 5
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- eval_batch_size: 5
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 23.7553 | 1.0 | 16 | 12.6564 |
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| 16.551 | 2.0 | 32 | 8.1747 |
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| 16.9482 | 3.0 | 48 | 8.1457 |
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### Framework versions
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- Transformers 4.48.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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