Update README.md

README.md

@@ -13,38 +13,34 @@ model-index:
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-# spark-name-de-to-en
+# German Names to English Translation Model
 
-This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9496
-- Bleu: 55.6009
-- Gen Len: 5.8406
+## Model Overview
 
-## Model description
+This translation model is specifically designed to accurately and fluently translate German names and surnames into English.
 
-More information needed
+## Intended Uses and Limitations
 
-## Intended uses & limitations
+This model is built for Spark IT enterprise looking to automate the translation process of German names and surnames into English.
 
-More information needed
+## Training and Evaluation Data
 
-## Training and evaluation data
+This model has been trained on a diverse dataset consisting of over 68,493 lines of data, encompassing a wide range of Hindi names and surnames along with their English counterparts. Evaluation data has been carefully selected to ensure reliable and accurate translation performance.
 
-More information needed
+## Training Procedure
+- 1 days of training
 
-## Training procedure
+### Hardware Environment:
 
-### Training hyperparameters
+- Azure Studio 
+- Standard_DS12_v2
+- 4 cores, 28GB RAM, 56GB storage
+- Data manipulation and training on medium-sized datasets (1-10GB)
+- 6 cores
+- Loss: 0.4618
+- Bleu: 70.7674
+- Gen Len: 10.2548
 
-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: 4
 
 ### Training results