End of training

README.md

@@ -5,9 +5,21 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
+metrics:
+- wer
 model-index:
 - name: whisper-tiny-english-minds14
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PolyAI/minds14
+      type: PolyAI/minds14
+    metrics:
+    - name: Wer
+      type: wer
+      value: 42.108585858585855
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-tiny-english-minds14
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7164
+- Wer Ortho: 45.5563
+- Wer: 42.1086
 
 ## Model description
 
@@ -41,11 +57,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 100
+- training_steps: 500
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 0.0009        | 17.24 | 500  | 0.7164          | 45.5563   | 42.1086 |
 
 
 ### Framework versions

generation_config.json

@@ -35,11 +35,15 @@
   "forced_decoder_ids": [
     [
       1,
-      null
+      50259
     ],
     [
       2,
       50359
+    ],
+    [
+      3,
+      50363
     ]
   ],
   "is_multilingual": true,
@@ -144,6 +148,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
+  "language": "english",
   "max_initial_timestamp_index": 1,
   "max_length": 448,
   "no_timestamps_token_id": 50363,
@@ -239,6 +244,7 @@
     50361,
     50362
   ],
+  "task": "transcribe",
   "task_to_id": {
     "transcribe": 50359,
     "translate": 50358