End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
+metrics:
+- wer
 model-index:
 - name: whisper-small-dv
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PolyAI/minds14
+      type: PolyAI/minds14
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-small-dv
 
 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: 0.0000
+- Wer Ortho: 0.0
+- Wer: 0.0
 
 ## Model description
 
@@ -41,7 +60,14 @@ 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: 1
+- training_steps: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:---:|
+| 0.0           | 1.79  | 50   | 0.0000          | 0.0       | 0.0 |
+
 
 ### Framework versions
 

generation_config.json

@@ -9,7 +9,7 @@
   "forced_decoder_ids": [
     [
       1,
-      50259
+      50322
     ],
     [
       2,
@@ -122,7 +122,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
-  "language": "english",
+  "language": "sinhalese",
   "max_initial_timestamp_index": 1,
   "max_length": 448,
   "no_timestamps_token_id": 50363,