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library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: corr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# corr
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 6
### Training results
### Framework versions
- Transformers 5.13.0
- Pytorch 2.12.1+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2
## Licensing and attribution
This model distribution is licensed under the Apache License, Version 2.0.
See [LICENSE](LICENSE). Existing third-party copyright, license, and attribution notices remain applicable.
- Upstream: [google/mt5-small](https://huggingface.co/google/mt5-small/tree/73fb5dbe4756edadc8fbe8c769b0a109493acf7a); declared license: `apache-2.0`.
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