update model card README.md

README.md

@@ -0,0 +1,67 @@
+---
+license: cc-by-4.0
+tags:
+- generated_from_trainer
+datasets:
+- wmt16
+model-index:
+- name: opus-mt-en-de-finetuned-en-to-de
+  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. -->
+
+# opus-mt-en-de-finetuned-en-to-de
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on the wmt16 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2799
+- Bleu1: 0.5227
+- Bleu2: 0.3993
+- Rougelsum: 0.5577
+- Gen Len: 27.2379
+
+## 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu1  | Bleu2  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:---------:|:-------:|
+| 1.5412        | 1.0   | 15625 | 1.2853          | 0.5232 | 0.4001 | 0.5595    | 27.1014 |
+| 1.5375        | 2.0   | 31250 | 1.2816          | 0.5229 | 0.3996 | 0.5582    | 27.0881 |
+| 1.5452        | 3.0   | 46875 | 1.2804          | 0.5227 | 0.3995 | 0.5577    | 27.2328 |
+| 1.5405        | 4.0   | 62500 | 1.2800          | 0.5225 | 0.3993 | 0.5577    | 27.2365 |
+| 1.5373        | 5.0   | 78125 | 1.2799          | 0.5227 | 0.3993 | 0.5577    | 27.2379 |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3