update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: punctuation-nilc-t5-base
+  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. -->
+
+# punctuation-nilc-t5-base
+
+This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0432
+- Bleu: 26.0973
+- Gen Len: 18.8694
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.0544        | 1.0   | 4686  | 0.0442          | 25.989  | 18.8655 |
+| 0.0367        | 2.0   | 9372  | 0.0371          | 25.9358 | 18.8713 |
+| 0.0222        | 3.0   | 14058 | 0.0374          | 25.8976 | 18.8694 |
+| 0.0152        | 4.0   | 18744 | 0.0409          | 26.1575 | 18.8694 |
+| 0.0147        | 5.0   | 23430 | 0.0432          | 26.0973 | 18.8694 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.1
+- Tokenizers 0.13.2