Update readme

README.md

@@ -12,6 +12,12 @@ pipeline_tag: translation
 <!-- 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. -->
 
+<!-- in this model i use transfer learning for translate english to Moroccain dialect (darija). -->
+
+<!-- about dataset used for training model : I used about 18,000 pairs of English and Moroccain Dialect. -->
+
+<!-- my model is trained three times, the last being one epoch. -->
+
 # Helsinki-NLPopus-mt-tc-big-en-moroccain_dialect
 
 This model was trained from scratch on the None dataset.
@@ -22,7 +28,52 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+MarianConfig {
+  "_name_or_path": "/content/drive/MyDrive/Colab Notebooks/big_helsinki_eng_dar",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "MarianMTModel"
+  ],
+  "attention_dropout": 0.0,
+  "bad_words_ids": [
+    [
+      61246
+    ]
+  ],
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 61246,
+  "decoder_vocab_size": 61247,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 25897,
+  "forced_eos_token_id": 25897,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_length": 512,
+  "max_position_embeddings": 1024,
+  "model_type": "marian",
+  "normalize_embedding": false,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 61246,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0",
+  "use_cache": true,
+  "vocab_size": 61247
+}
 
 ## Intended uses & limitations
 
@@ -30,10 +81,21 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+DatasetDict({
+    train: Dataset({
+        features: ['input_ids', 'attention_mask', 'labels'],
+        num_rows: 15443
+    })
+    test: Dataset({
+        features: ['input_ids', 'attention_mask', 'labels'],
+        num_rows: 813
+    })
+})
 
 ## Training procedure
 
+Using transfer learning due to limited data in the Moroccan dialect.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: