update model card README.md

README.md

@@ -2,22 +2,39 @@
 license: apache-2.0
 base_model: Helsinki-NLP/opus-mt-en-fr
 tags:
-- generated_from_keras_callback
+- translation
+- generated_from_trainer
+datasets:
+- kde4
+metrics:
+- bleu
 model-index:
-- name: fadliaulawi/marian-finetuned-kde4-en-to-fr
-  results: []
+- name: marian-finetuned-kde4-en-to-fr
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: kde4
+      type: kde4
+      config: en-fr
+      split: train
+      args: en-fr
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 50.39288997551686
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+<!-- 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. -->
 
-# fadliaulawi/marian-finetuned-kde4-en-to-fr
+# marian-finetuned-kde4-en-to-fr
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
+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 kde4 dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0609
-- Validation Loss: 0.8949
-- Epoch: 0
+- Loss: 0.9636
+- Bleu: 50.3929
 
 ## Model description
 
@@ -36,19 +53,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 5911, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
-- training_precision: mixed_float16
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 1.0609     | 0.8949          | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
-- TensorFlow 2.12.0
+- Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3