Upload README.md

README.md

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+---
+license: apache-2.0
+language:
+- es
+- en
+base_model: vgaraujov/bart-base-spanish
+tags:
+- generated_from_trainer
+datasets:
+- vgaraujov/wmt13
+metrics:
+- bleu
+model-index:
+- name: bart-base-translation-es-en
+  results:
+  - task:
+      name: Translation
+      type: translation
+    dataset:
+      name: vgaraujov/wmt13 es-en
+      type: vgaraujov/wmt13
+      config: es-en
+      split: validation
+      args: es-en
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 30.222
+---
+
+<!-- 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. -->
+
+# BARTO (base-sized model) for es-en translation
+
+This model is a fine-tuned version of [BARTO](https://huggingface.co/vgaraujov/bart-base-spanish) on a small portion of [WMT13](https://huggingface.co/datasets/vgaraujov/wmt13) es-en dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4562
+- Bleu: 30.222
+- Gen Len: 42.0952
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.005
+- train_batch_size: 96
+- eval_batch_size: 96
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 384
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 40000
+- training_steps: 5000
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3