Model save

README.md

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+---
+license: mit
+base_model: unicamp-dl/ptt5-base-t5-vocab
+tags:
+- generated_from_trainer
+model-index:
+- name: t5_base-qg-ap-test
+  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-test
+
+This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1036
+
+## 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: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0561        | 1.0   | 1616 | 1.1371          |
+| 0.9695        | 2.0   | 3232 | 1.1090          |
+| 0.9111        | 3.0   | 4848 | 1.1012          |
+| 0.8691        | 4.0   | 6464 | 1.1012          |
+| 0.8543        | 5.0   | 8080 | 1.1036          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.0
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model.safetensors

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