Update

README.md

@@ -27,9 +27,9 @@ base_model:
  
 ## Model description
 
-This machine translation model is built upon the foundation of M2M100 1.2B. 
+This machine translation model is built upon the M2M100 1.2B, fine-tuned specifically for Chinese-Catalan translation. 
 It is trained on a combination of Catalan-Chinese datasets 
-totalling 94.187.858 sentence pairs. 113.305 sentence pairs were parallel data collected from the web, while the remaining 94.074.553 sentence pairs 
+totalling 94,187,858 sentence pairs. 113,305 sentence pairs were parallel data collected from the web, while the remaining 94,074,553 sentence pairs 
 were parallel synthetic data created using the 
 [Aina Project's Spanish-Catalan machine translation model](https://huggingface.co/projecte-aina/aina-translator-es-ca) and the [Aina Project's English-Catalan machine translation model](https://huggingface.co/projecte-aina/aina-translator-en-ca). 
 The model was evaluated on the Flores, NTREX, and Projecte Aina's Catalan-Chinese evaluation datasets, achieving results comparable to those of Google Translate.
@@ -74,37 +74,37 @@ The Catalan-Chinese data collected from the web was a combination of the followi
 
 | Dataset       	| Sentences before cleaning	|
 |-------------------|----------------|
-| OpenSubtitles  	| 139.300	|
-| WikiMatrix | 90.643 |
-| Wikipedia 	| 68.623|
-| **Total**     	| **298.566** |
+| OpenSubtitles  	| 139,300	|
+| WikiMatrix | 90,643 |
+| Wikipedia 	| 68,623|
+| **Total**     	| **298,566** |
 
-94.074.553 sentence pairs of synthetic parallel data were created from the following Spanish-Chinese datasets and English-Chinese datasets:
+94,074,553 sentence pairs of synthetic parallel data were created from the following Spanish-Chinese datasets and English-Chinese datasets:
 
 **Spanish-Chinese:**
 
 | Dataset       	| Sentences before cleaning	|
 |-------------------|----------------|
-| NLLB 	|24.051.233|
-| UNPC | 17.599.223 |
-| MultiUN | 9.847.770 |
-| OpenSubtitles | 9.319.658 |
-| MultiParaCrawl | 3.410.087 |
-| MultiCCAligned | 3.006.694 |
-| WikiMatrix | 1.214.322 |
-| News Commentary | 375.982 |
-| Tatoeba | 9.404 |
-| **Total**     	| **68.834.373** |
+| NLLB 	|24,051,233|
+| UNPC | 17,599,223 |
+| MultiUN | 9,847,770 |
+| OpenSubtitles | 9,319,658 |
+| MultiParaCrawl | 3,410,087 |
+| MultiCCAligned | 3,006,694 |
+| WikiMatrix | 1,214,322 |
+| News Commentary | 375,982 |
+| Tatoeba | 9,404 |
+| **Total**     	| **68,834,373** |
 
 **English-Chinese:**
 
 | Dataset       	| Sentences before cleaning	|
 |-------------------|----------------|
-| NLLB 	|71.383.325|
-| CCAligned | 15.181.415 |
-| Paracrawl | 14.170.869|
-| WikiMatrix | 2.595.119|
-| **Total**     	| **103.330.728** |
+| NLLB 	|71,383,325|
+| CCAligned | 15,181,415 |
+| Paracrawl | 14,170,869|
+| WikiMatrix | 2,595,119|
+| **Total**     	| **103,330,728** |
 
 
 ### Training procedure
@@ -121,13 +121,13 @@ All data was then filtered according to two specific criteria:
 
 Next, Spanish data was translated into Catalan using the Aina Project's [Spanish-Catalan machine translation model](https://huggingface.co/projecte-aina/aina-translator-es-ca), while English data was translated into Catalan using the Aina Project's [English-Catalan machine translation model](https://huggingface.co/projecte-aina/aina-translator-en-ca).
 
-The filtered and translated datasets are then concatenated and deduplicated to form a final corpus of 94.187.858.
+The filtered and translated datasets are then concatenated and deduplicated to form a final corpus of 94,187,858.
 
 
 #### Training
 
 The training was executed on NVIDIA GPUs utilizing the Hugging Face Transformers framework. 
-The model was trained for 244.500 updates. 
+The model was trained for 244,500 updates. 
 Weights were saved every 500 updates.
 
 ## Evaluation