End of training

README.md

@@ -2,6 +2,7 @@
 language:
 - tr
 license: apache-2.0
+base_model: openai/whisper-tiny
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
@@ -9,13 +10,12 @@ datasets:
 - mozilla-foundation/common_voice_11_0
 metrics:
 - wer
-base_model: openai/whisper-tiny
 model-index:
 - name: Whisper Tiny Tr - Canberk Kandemir
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
@@ -23,9 +23,9 @@ model-index:
       split: None
       args: 'config: tr, split: test'
     metrics:
-    - type: wer
-      value: 65.19764801769809
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 46.32551279812152
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5050
-- Wer: 65.1976
+- Loss: 0.5251
+- Wer: 46.3255
 
 ## Model description
 
@@ -55,26 +55,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 16
+- learning_rate: 1e-05
+- train_batch_size: 32
 - eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine_with_restarts
-- lr_scheduler_warmup_steps: 500
-- training_steps: 4000
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.373         | 0.89  | 1000 | 0.5859          | 60.4296 |
-| 0.2174        | 1.77  | 2000 | 0.5236          | 49.7332 |
-| 0.1194        | 2.66  | 3000 | 0.5080          | 61.9743 |
-| 0.0832        | 3.54  | 4000 | 0.5050          | 65.1976 |
+| 0.1699        | 0.44  | 500  | 0.5298          | 45.2446 |
+| 0.1401        | 0.89  | 1000 | 0.5348          | 47.2415 |
+| 0.1152        | 1.33  | 1500 | 0.5375          | 47.3560 |
+| 0.1602        | 1.77  | 2000 | 0.5251          | 46.3255 |
 
 
 ### Framework versions

model.safetensors

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 size 151061672

runs/Feb17_23-10-48_a2c1a4b591cc/events.out.tfevents.1708211468.a2c1a4b591cc.130718.2

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-size 15538
+oid sha256:a2b4f6605c48657e477dec0aba8c623ce940211a955b6dee74834761b813f039
+size 19350