Upload README.md

README.md

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+---
+language:
+- en
+- fr
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- PaulineSanchez/recipes_translation_2
+metrics:
+- bleu
+model-index:
+- name: train_hf_batch_8_epoch_8
+  results:
+  - task:
+      name: Translation
+      type: translation
+    dataset:
+      name: PaulineSanchez/recipes_translation_2
+      type: PaulineSanchez/recipes_translation_2
+      split: validation
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 61.6124
+---
+
+<!-- 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. -->
+
+# train_hf_batch_8_epoch_8
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the PaulineSanchez/recipes_translation_2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6032
+- Bleu: 61.6124
+- Gen Len: 34.06
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3