End of training

README.md

@@ -4,26 +4,11 @@ base_model: openai/whisper-small
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
-datasets:
-- arrow
 metrics:
 - wer
 model-index:
 - name: whisper-small-indian_eng
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: arrow
-      type: arrow
-      config: default
-      split: validation
-      args: default
-    metrics:
-    - name: Wer
-      type: wer
-      value: 19.101123595505616
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-small-indian_eng
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the arrow dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0717
-- Wer: 19.1011
+- Loss: 0.3169
+- Wer: 10.6061
 
 ## Model description
 
@@ -53,34 +38,50 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
-- train_batch_size: 8
-- eval_batch_size: 4
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 25
-- training_steps: 608
+- lr_scheduler_warmup_steps: 100
+- training_steps: 3000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 2.4039        | 10.0  | 50   | 2.6140          | 22.4719 |
-| 0.8763        | 20.0  | 100  | 1.2662          | 15.7303 |
-| 0.652         | 30.0  | 150  | 1.1479          | 13.4831 |
-| 0.5727        | 40.0  | 200  | 1.1299          | 16.8539 |
-| 0.5206        | 50.0  | 250  | 1.1230          | 17.9775 |
-| 0.4886        | 60.0  | 300  | 1.1166          | 16.8539 |
-| 0.4644        | 70.0  | 350  | 1.1085          | 14.6067 |
-| 0.4439        | 80.0  | 400  | 1.0987          | 14.6067 |
-| 0.4293        | 90.0  | 450  | 1.0887          | 15.7303 |
-| 0.4162        | 100.0 | 500  | 1.0808          | 17.9775 |
-| 0.416         | 110.0 | 550  | 1.0735          | 19.1011 |
-| 0.4101        | 120.0 | 600  | 1.0717          | 19.1011 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.5504        | 1.5873  | 100  | 0.4581          | 10.6061 |
+| 0.058         | 3.1746  | 200  | 0.2114          | 8.8154  |
+| 0.0126        | 4.7619  | 300  | 0.2365          | 8.1267  |
+| 0.0078        | 6.3492  | 400  | 0.2513          | 7.9890  |
+| 0.0026        | 7.9365  | 500  | 0.2596          | 7.1625  |
+| 0.0027        | 9.5238  | 600  | 0.2676          | 8.1267  |
+| 0.0031        | 11.1111 | 700  | 0.2842          | 7.3003  |
+| 0.0013        | 12.6984 | 800  | 0.2707          | 18.7328 |
+| 0.0004        | 14.2857 | 900  | 0.2814          | 13.6364 |
+| 0.0006        | 15.8730 | 1000 | 0.2806          | 11.1570 |
+| 0.0009        | 17.4603 | 1100 | 0.2906          | 11.0193 |
+| 0.0004        | 19.0476 | 1200 | 0.2948          | 11.1570 |
+| 0.0003        | 20.6349 | 1300 | 0.2984          | 10.8815 |
+| 0.0002        | 22.2222 | 1400 | 0.3008          | 10.8815 |
+| 0.0003        | 23.8095 | 1500 | 0.2992          | 10.7438 |
+| 0.0001        | 25.3968 | 1600 | 0.3040          | 10.8815 |
+| 0.0002        | 26.9841 | 1700 | 0.3088          | 10.7438 |
+| 0.0001        | 28.5714 | 1800 | 0.3077          | 10.6061 |
+| 0.0001        | 30.1587 | 1900 | 0.3098          | 10.4683 |
+| 0.0001        | 31.7460 | 2000 | 0.3111          | 10.4683 |
+| 0.0001        | 33.3333 | 2100 | 0.3119          | 10.4683 |
+| 0.0001        | 34.9206 | 2200 | 0.3129          | 10.4683 |
+| 0.0001        | 36.5079 | 2300 | 0.3142          | 10.4683 |
+| 0.0001        | 38.0952 | 2400 | 0.3146          | 10.4683 |
+| 0.0001        | 39.6825 | 2500 | 0.3153          | 10.6061 |
+| 0.0001        | 41.2698 | 2600 | 0.3158          | 10.6061 |
+| 0.0001        | 42.8571 | 2700 | 0.3162          | 10.6061 |
+| 0.0001        | 44.4444 | 2800 | 0.3167          | 10.6061 |
+| 0.0001        | 46.0317 | 2900 | 0.3169          | 10.6061 |
+| 0.0001        | 47.6190 | 3000 | 0.3169          | 10.6061 |
 
 
 ### Framework versions

model.safetensors

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 size 966995080

runs/Jun17_14-32-21_5c1a47f82491/events.out.tfevents.1718634744.5c1a47f82491.25.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 27881
+oid sha256:57ee7cf4dde4f8eb4b853d6f44cf043d2344dbc941d1cbe5dc93e1b9789cc21b
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