Update README.md

README.md

@@ -8,7 +8,7 @@ license: cc-by-4.0
 datasets:
 - quickmt/quickmt-train.ro-en
 model-index:
-- name: quickmt-ro-en
+- name: quickmt-en-ro
   results:
   - task:
       name: Translation ron-eng
@@ -21,19 +21,19 @@ model-index:
     metrics:
     - name: BLEU
       type: bleu
-      value: 
+      value: 42.29
     - name: CHRF
       type: chrf
-      value: 
+      value: 66.07
     - name: COMET
       type: comet
-      value: 
+      value: 89.67
 ---
 
 
-# `quickmt-ro-en` Neural Machine Translation Model 
+# `quickmt-en-ro` Neural Machine Translation Model 
 
-`quickmt-ro-en` is a reasonably fast and reasonably accurate neural machine translation model for translation from `ro` into `en`.
+`quickmt-en-ro` is a reasonably fast and reasonably accurate neural machine translation model for translation from `en` into `ro`.
 
 
 ## Try it on our Huggingface Space
@@ -62,7 +62,7 @@ Next, install the `quickmt` python library and download the model:
 git clone https://github.com/quickmt/quickmt.git
 pip install ./quickmt/
 
-quickmt-model-download quickmt/quickmt-ro-en ./quickmt-ro-en
+quickmt-model-download quickmt/quickmt-en-ro ./quickmt-en-ro
 ```
 
 Finally use the model in python:
@@ -71,7 +71,7 @@ Finally use the model in python:
 from quickmt import Translator
 
 # Auto-detects GPU, set to "cpu" to force CPU inference
-t = Translator("./quickmt-ro-en/", device="auto")
+t = Translator("./quickmt-en-ro/", device="auto")
 
 # Translate - set beam size to 1 for faster speed (but lower quality)
 sample_text = 'Dr. Ehud Ur, professor of medicine at Dalhousie University in Halifax, Nova Scotia and chair of the clinical and scientific division of the Canadian Diabetes Association cautioned that the research is still in its early days.'
@@ -94,7 +94,7 @@ The model is in `ctranslate2` format, and the tokenizers are `sentencepiece`, so
 
 ## Metrics
 
-`bleu` and `chrf2` are calculated with [sacrebleu](https://github.com/mjpost/sacrebleu) on the [Flores200 `devtest` test set](https://huggingface.co/datasets/facebook/flores) ("ron_Latn"->"eng_Latn"). `comet22` with the [`comet`](https://github.com/Unbabel/COMET) library and the [default model](https://huggingface.co/Unbabel/wmt22-comet-da). "Time (s)" is the time in seconds to translate the flores-devtest dataset (1012 sentences) on an Nvidia RTX 4070s GPU with batch size 32.
+`bleu` and `chrf2` are calculated with [sacrebleu](https://github.com/mjpost/sacrebleu) on the [Flores200 `devtest` test set](https://huggingface.co/datasets/facebook/flores) ("eng_Latn"->"ron_Latn"). `comet22` with the [`comet`](https://github.com/Unbabel/COMET) library and the [default model](https://huggingface.co/Unbabel/wmt22-comet-da). "Time (s)" is the time in seconds to translate the flores-devtest dataset (1012 sentences) on an Nvidia RTX 4070s GPU with batch size 32.
 
 
 |                                   |   bleu |   chrf2 |   comet22 |   Time (s) |