End of training

README.md

@@ -1,27 +1,12 @@
 ---
+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
-metrics:
-- wer
 model-index:
 - name: wav2vec2-large-xls-r-300m-arabic-colab
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: common_voice_12_0
-      type: common_voice_12_0
-      config: ar
-      split: test[:10%]
-      args: ar
-    metrics:
-    - type: wer
-      value: 0.7661710754972002
-      name: Wer
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 2.0728
-- Wer: 0.7662
+- eval_loss: 0.8094
+- eval_wer: 0.5827
+- eval_runtime: 136.4654
+- eval_samples_per_second: 15.293
+- eval_steps_per_second: 1.913
+- epoch: 3.8055
+- step: 3600
 
 ## Model description
 
@@ -63,28 +53,9 @@ The following hyperparameters were used during training:
 - num_epochs: 30
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Wer    |
-|:-------------:|:-------:|:----:|:---------------:|:------:|
-| 0.1061        | 2.2599  | 200  | 1.8297          | 0.8034 |
-| 0.1496        | 4.5198  | 400  | 1.6173          | 0.7955 |
-| 0.2105        | 6.7797  | 600  | 1.6220          | 0.8040 |
-| 0.1798        | 9.0395  | 800  | 2.2087          | 0.8405 |
-| 0.1389        | 11.2994 | 1000 | 1.7900          | 0.7868 |
-| 0.1143        | 13.5593 | 1200 | 1.7566          | 0.7886 |
-| 0.103         | 15.8192 | 1400 | 1.8148          | 0.7689 |
-| 0.0904        | 18.0791 | 1600 | 1.8059          | 0.7627 |
-| 0.0766        | 20.3390 | 1800 | 2.1398          | 0.7907 |
-| 0.0682        | 22.5989 | 2000 | 2.0384          | 0.7779 |
-| 0.0583        | 24.8588 | 2200 | 2.0727          | 0.7658 |
-| 0.0575        | 27.1186 | 2400 | 2.1649          | 0.7758 |
-| 0.0582        | 29.3785 | 2600 | 2.0728          | 0.7662 |
-
-
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 2.2.1+cu121
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:921a32c054702ed675f7ade635ebae24d66c6d734033232f8d4e618ce4563250
+oid sha256:0c8d07a3ea7cc219d3c96f76061e60a2d2fa96205b0bc9378fd5d1767c33bf7b
 size 1262180580