End of training

README.md

@@ -1,12 +1,27 @@
 ---
+base_model: batoula187/wav2vec2-large-xls-r-300m-arabic-colab
 tags:
 - generated_from_trainer
-base_model: batoula187/wav2vec2-large-xls-r-300m-arabic-colab
 datasets:
-- common_voice_12_0
+- common_voice_17_0
+metrics:
+- wer
 model-index:
 - name: wav2vec2-large-xls-r-300m-arabic-colab
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: ar
+      split: test[:10%]
+      args: ar
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.627304825421734
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,15 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-300m-arabic-colab
 
-This model is a fine-tuned version of [batoula187/wav2vec2-large-xls-r-300m-arabic-colab](https://huggingface.co/batoula187/wav2vec2-large-xls-r-300m-arabic-colab) on the common_voice_12_0 dataset.
+This model is a fine-tuned version of [batoula187/wav2vec2-large-xls-r-300m-arabic-colab](https://huggingface.co/batoula187/wav2vec2-large-xls-r-300m-arabic-colab) on the common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.3782
-- eval_wer: 0.6346
-- eval_runtime: 98.1821
-- eval_samples_per_second: 15.94
-- eval_steps_per_second: 1.996
-- epoch: 19.2817
-- step: 3400
+- Loss: 1.5330
+- Wer: 0.6273
 
 ## Model description
 
@@ -53,9 +63,32 @@ The following hyperparameters were used during training:
 - num_epochs: 30
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 0.0457        | 1.6901  | 200  | 1.5030          | 0.6377 |
+| 0.0408        | 3.3803  | 400  | 1.4683          | 0.6503 |
+| 0.0693        | 5.0704  | 600  | 1.6023          | 0.6897 |
+| 0.0766        | 6.7606  | 800  | 1.3947          | 0.6709 |
+| 0.0653        | 8.4507  | 1000 | 1.5052          | 0.6858 |
+| 0.0542        | 10.1408 | 1200 | 1.6550          | 0.6999 |
+| 0.0535        | 11.8310 | 1400 | 1.4820          | 0.6591 |
+| 0.0645        | 13.5211 | 1600 | 1.5134          | 0.6732 |
+| 0.0583        | 15.2113 | 1800 | 1.4606          | 0.6561 |
+| 0.0551        | 16.9014 | 2000 | 1.4476          | 0.6534 |
+| 0.0462        | 18.5915 | 2200 | 1.5556          | 0.6557 |
+| 0.0447        | 20.2817 | 2400 | 1.5289          | 0.6503 |
+| 0.0395        | 21.9718 | 2600 | 1.5145          | 0.6434 |
+| 0.0327        | 23.6620 | 2800 | 1.5916          | 0.6475 |
+| 0.0317        | 25.3521 | 3000 | 1.5830          | 0.6526 |
+| 0.0276        | 27.0423 | 3200 | 1.5935          | 0.6432 |
+| 0.026         | 28.7324 | 3400 | 1.5330          | 0.6273 |
+
+
 ### Framework versions
 
-- Transformers 4.41.1
+- Transformers 4.41.2
 - Pytorch 2.3.0+cu121
-- Datasets 2.19.1
+- Datasets 2.19.2
 - Tokenizers 0.19.1

model.safetensors

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+oid sha256:ae69779b53dc4e18e80920e749611d43cca11eafdd04c5637e38b6d6208e56af
 size 1262180580

runs/Jun10_10-56-35_da1d3259a50a/events.out.tfevents.1718017094.da1d3259a50a.924.0

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-size 15331
+oid sha256:2e76528bce524a30cc5f78cd36ac1972b98591829b5b141a73725b73f01b7371
+size 15685