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README.md
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---
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license: apache-2.0
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base_model: google/mt5-base
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tags:
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- generated_from_trainer
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model-index:
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- name: mt5_base-qg-ap-peft-oficial
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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_base-qg-ap-peft-oficial
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.6924
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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: 32
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 10.2785 | 1.0 | 2367 | 7.4566 |
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| 9.7078 | 2.0 | 4734 | 7.0581 |
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| 9.4851 | 3.0 | 7101 | 6.8360 |
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| 9.2737 | 4.0 | 9468 | 6.7291 |
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| 9.3588 | 5.0 | 11835 | 6.6924 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.1
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