End of training

README.md

@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper-small-Arabic-phoneme
 
-This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1381
+- Loss: 0.2262
 
 ## Model description
 
@@ -35,26 +35,33 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 6
+- eval_batch_size: 6
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.5284        | 1.0   | 228  | 3.2308          |
-| 0.1412        | 2.0   | 456  | 0.1778          |
-| 0.0842        | 3.0   | 684  | 0.1381          |
+| 0.0713        | 1.0   | 539  | 0.2005          |
+| 0.0577        | 2.0   | 1078 | 0.2035          |
+| 0.0479        | 3.0   | 1617 | 0.1821          |
+| 0.0336        | 4.0   | 2156 | 0.2092          |
+| 0.0191        | 5.0   | 2695 | 0.1887          |
+| 0.0143        | 6.0   | 3234 | 0.1927          |
+| 0.0104        | 7.0   | 3773 | 0.1955          |
+| 0.0059        | 8.0   | 4312 | 0.2194          |
+| 0.004         | 9.0   | 4851 | 0.2193          |
+| 0.0024        | 10.0  | 5390 | 0.2262          |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
 - Tokenizers 0.14.1

adapter_model.bin

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training_args.bin

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