update model card README.md

README.md

@@ -4,45 +4,18 @@ tags:
 - translation
 - generated_from_trainer
 datasets:
-- tatoeba
-metrics:
-- bleu
+- open_subtitles
 model-index:
 - name: ft-tatoeba-ar-en
-  results:
-  - task:
-      name: Sequence-to-sequence Language Modeling
-      type: text2text-generation
-    dataset:
-      name: tatoeba
-      type: tatoeba
-      args: ar-en
-    metrics:
-    - name: Bleu
-      type: bleu
-      value: 49.84455855787226
-      
-widget:
-- text: "كريستيانو رونالدو يلعب مع نادي يوفنتوس"
-  example_title: "Sentence 1"
-- text: "تخرج أحمد من الجامعة الأمريكية في الشارقة الشهر الماضي"
-  example_title: "Sentence 2"
-- text: "لا يزال ديبالا يلعب لفريق يوفنتوس"
-  example_title: "Sentence 3"
-- text: "شو عملتوا امس ؟"
-  example_title: "Sentence 4"
+  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. -->
 
 # ft-tatoeba-ar-en
 
-This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the tatoeba dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7431
-- Bleu: 49.8446
+This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on the open_subtitles dataset.
 
 ## Model description
 
@@ -62,12 +35,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- 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: 3
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -76,7 +49,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.18.0
-- Pytorch 1.10.0+cu111
-- Datasets 2.0.0
+- Transformers 4.18.0.dev0
+- Pytorch 1.10.2+cu113
+- Datasets 1.18.4
 - Tokenizers 0.11.6