update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: translation-en-pt-t5-finetuned-Duolingo
+  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. -->
+
+# translation-en-pt-t5-finetuned-Duolingo
+
+This model is a fine-tuned version of [unicamp-dl/translation-en-pt-t5](https://huggingface.co/unicamp-dl/translation-en-pt-t5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7436
+- Bleu: 39.7994
+- Gen Len: 8.978
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.7259        | 0.24  | 9000  | 0.7897          | 39.2919 | 8.912   |
+| 0.6407        | 0.48  | 18000 | 0.7575          | 39.9964 | 8.898   |
+| 0.614         | 0.72  | 27000 | 0.7465          | 39.725  | 8.952   |
+| 0.6           | 0.96  | 36000 | 0.7436          | 39.7994 | 8.978   |
+
+
+### Framework versions
+
+- Transformers 4.12.5
+- Pytorch 1.10.0+cu111
+- Datasets 1.16.1
+- Tokenizers 0.10.3