Create RESULTS.md

egs/mls_english/ASR/RESULTS.md

@@ -0,0 +1,39 @@
+## Results
+
+### MLS-English training results (Non-streaming) on zipformer model
+
+#### Non-streaming
+
+**WER on Test Set (Epoch 20)**
+
+| Type          | Greedy | Beam search |
+|---------------|--------|-------------|
+| Non-streaming | 6.65   | 6.57        |
+
+
+The training command:
+
+```
+./zipformer/train.py \
+--world-size 8 \
+--num-epochs 20 \
+--start-epoch 9 \
+--use-fp16 1 \
+--exp-dir zipformer/exp \
+--lang-dir data/lang/bpe_2000/
+```
+
+The decoding command:
+
+```
+./zipformer/decode.py \
+    --epoch 20 \
+    --exp-dir ./zipformer/exp \
+    --lang-dir data/lang/bpe_2000/ \
+    --decoding-method greedy_search
+```
+
+
+The pre-trained model is available here : 
+
+Please note that this recipe was developed primarily as the source of English input in the bilingual Japanese-English recipe `multi_ja_en`, which uses ReazonSpeech and MLS English.