update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- translation
+- generated_from_trainer
+datasets:
+- scielo
+metrics:
+- bleu
+model-index:
+- name: opus-mt-es-en-scielo
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: scielo
+      type: scielo
+      args: en-es
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 40.87878888820179
+---
+
+<!-- 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. -->
+
+# opus-mt-es-en-scielo
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the scielo dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2593
+- Bleu: 40.8788
+
+## 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: 5.6e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 1.4277        | 1.0   | 10001 | 1.3473          | 40.5849 |
+| 1.2007        | 2.0   | 20002 | 1.3146          | 41.3308 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1