update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- opus_books
+metrics:
+- bleu
+model-index:
+- name: my_awesome_opus_books_model_JRF
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: opus_books
+      type: opus_books
+      config: en-fr
+      split: train
+      args: en-fr
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 6.0553
+---
+
+<!-- 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. -->
+
+# my_awesome_opus_books_model_JRF
+
+This model was trained from scratch on the opus_books dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5465
+- Bleu: 6.0553
+- Gen Len: 17.528
+
+## 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: 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   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
+| 1.7679        | 1.0   | 6355  | 1.5601          | 6.0201 | 17.5327 |
+| 1.7452        | 2.0   | 12710 | 1.5465          | 6.0553 | 17.528  |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.1
+- Datasets 2.13.1
+- Tokenizers 0.13.2