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Arbi-Houssem
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TunLangModel_test1.10

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results
Inference Endpoints
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Arbi-Houssem commited on
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End of training

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Files changed (4) hide show
  1. README.md +10 -7
  2. model.safetensors +1 -1
  3. runs/Jun14_15-55-59_cxrocket-SERVER/events.out.tfevents.1718376962.cxrocket-SERVER +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 103.30857528696826
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Tunisian_dataset_STT-TTS15s_filtred1.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8903
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- - Wer: 103.3086
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-06
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -66,9 +66,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 0.6624 | 7.7519 | 1000 | 2.9095 | 107.7650 |
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- | 0.3662 | 15.5039 | 2000 | 2.8457 | 108.5753 |
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- | 0.3354 | 23.2558 | 3000 | 2.8903 | 103.3086 |
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 109.99324780553681
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Tunisian_dataset_STT-TTS15s_filtred1.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0846
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+ - Wer: 109.9932
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-07
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 1.6852 | 3.8760 | 500 | 3.5237 | 148.8184 |
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+ | 1.2494 | 7.7519 | 1000 | 3.2200 | 121.6070 |
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+ | 1.2202 | 11.6279 | 1500 | 3.1493 | 125.3883 |
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+ | 1.0905 | 15.5039 | 2000 | 3.1099 | 113.9095 |
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+ | 1.0606 | 19.3798 | 2500 | 3.0905 | 110.1958 |
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+ | 1.0858 | 23.2558 | 3000 | 3.0846 | 109.9932 |
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  ### Framework versions
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