End of training

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,83 @@
+---
+language:
+- ar
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small ar - Mohammed Nasri
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: ar
+      split: test
+      args: 'config: ar, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 39.30217610871362
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Small ar - Mohammed Nasri
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2667
+- Wer: 39.3022
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2262        | 0.05  | 1000 | 0.3206          | 42.6903 |
+| 0.2           | 0.1   | 2000 | 0.3067          | 42.8354 |
+| 0.1944        | 0.16  | 3000 | 0.2863          | 40.6648 |
+| 0.1785        | 0.21  | 4000 | 0.2736          | 39.4675 |
+| 0.1641        | 0.26  | 5000 | 0.2667          | 39.3022 |
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 1.12.1
+- Datasets 2.10.1
+- Tokenizers 0.13.2

README.md

@@ -18,7 +18,7 @@ model-index:
     dataset:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
-      config: null
+      config: ar
       split: test
       args: 'config: ar, split: test'
     metrics: