Model save

README.md

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+---
+license: mit
+base_model: unicamp-dl/ptt5-base-portuguese-vocab
+tags:
+- generated_from_trainer
+model-index:
+- name: t5_base-qg-ap-peft-oficial
+  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. -->
+
+# t5_base-qg-ap-peft-oficial
+
+This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 15.9549
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 13.2241       | 1.0   | 2367  | 16.4507         |
+| 12.9503       | 2.0   | 4734  | 16.2224         |
+| 12.8425       | 3.0   | 7101  | 16.0670         |
+| 12.8058       | 4.0   | 9468  | 15.9792         |
+| 12.7937       | 5.0   | 11835 | 15.9549         |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.1