End of training

README.md

@@ -0,0 +1,88 @@
+---
+language:
+- ar
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small ar - younes matrab
+  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: None
+      args: 'config: ar, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 61.65413533834586
+---
+
+<!-- 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 - younes matrab
+
+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: 0.8027
+- Wer: 61.6541
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 4
+- 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: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.7188        | 0.4167 | 10   | 2.7773          | 67.1053 |
+| 1.6979        | 0.8333 | 20   | 2.4033          | 66.5414 |
+| 1.3932        | 1.25   | 30   | 1.9422          | 66.3534 |
+| 1.0467        | 1.6667 | 40   | 1.6225          | 65.2256 |
+| 0.8824        | 2.0833 | 50   | 1.3586          | 64.4737 |
+| 0.5935        | 2.5    | 60   | 1.0915          | 62.4060 |
+| 0.4491        | 2.9167 | 70   | 0.8986          | 63.3459 |
+| 0.3438        | 3.3333 | 80   | 0.8473          | 61.6541 |
+| 0.2915        | 3.75   | 90   | 0.8132          | 60.1504 |
+| 0.2391        | 4.1667 | 100  | 0.8027          | 61.6541 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+    [
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+    ]
+  ],
+  "begin_suppress_tokens": [
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+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "task_to_id": {
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+  "transformers_version": "4.42.3"
+}

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