End of training

README.md

@@ -4,12 +4,28 @@ language:
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
+- hf-asr-leaderboard
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_13_0
+metrics:
+- wer
 model-index:
 - name: Whisper Small Malayalam - Kavya Manohar
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 13
+      type: mozilla-foundation/common_voice_13_0
+      config: ml
+      split: test
+      args: 'config: ml, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 86.7595818815331
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,6 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small Malayalam - Kavya Manohar
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5256
+- Wer: 86.7596
 
 ## Model description
 
@@ -45,6 +64,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 50
 - training_steps: 500
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0096        | 15.62 | 500  | 0.5256          | 86.7596 |
+
+
 ### Framework versions
 
 - Transformers 4.33.3

generation_config.json

@@ -51,11 +51,15 @@
   "forced_decoder_ids": [
     [
       1,
-      null
+      50296
     ],
     [
       2,
       50359
+    ],
+    [
+      3,
+      50363
     ]
   ],
   "is_multilingual": true,
@@ -160,6 +164,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
+  "language": "malayalam",
   "max_initial_timestamp_index": 1,
   "max_length": 448,
   "no_timestamps_token_id": 50363,
@@ -255,6 +260,7 @@
     50361,
     50362
   ],
+  "task": "transcribe",
   "task_to_id": {
     "transcribe": 50359,
     "translate": 50358