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End of training

Browse files
README.md CHANGED
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1
  ---
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  license: apache-2.0
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- base_model: openai/whisper-large-v3
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: Whisper-large-v3-Arabic-phoneme
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  results: []
@@ -13,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper-large-v3-Arabic-phoneme
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- This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2361
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  ## Model description
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@@ -48,21 +49,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0747 | 1.0 | 546 | 0.2187 |
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- | 0.0343 | 2.0 | 1092 | 0.1932 |
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- | 0.0221 | 3.0 | 1638 | 0.1981 |
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- | 0.0315 | 4.0 | 2184 | 0.1915 |
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- | 0.0272 | 5.0 | 2730 | 0.2095 |
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- | 0.0147 | 6.0 | 3276 | 0.2060 |
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- | 0.0108 | 7.0 | 3822 | 0.2101 |
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- | 0.0057 | 8.0 | 4368 | 0.2165 |
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- | 0.0026 | 9.0 | 4914 | 0.2271 |
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- | 0.002 | 10.0 | 5460 | 0.2361 |
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu121
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- - Datasets 2.16.1
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- - Tokenizers 0.15.0
 
 
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  ---
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  license: apache-2.0
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+ library_name: peft
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  tags:
5
  - generated_from_trainer
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+ base_model: openai/whisper-large-v3
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  model-index:
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  - name: Whisper-large-v3-Arabic-phoneme
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  results: []
 
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  # Whisper-large-v3-Arabic-phoneme
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2331
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0608 | 1.0 | 546 | 0.2074 |
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+ | 0.0508 | 2.0 | 1092 | 0.2211 |
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+ | 0.0287 | 3.0 | 1638 | 0.1681 |
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+ | 0.0148 | 4.0 | 2184 | 0.1938 |
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+ | 0.0263 | 5.0 | 2730 | 0.1846 |
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+ | 0.0168 | 6.0 | 3276 | 0.1899 |
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+ | 0.0086 | 7.0 | 3822 | 0.1975 |
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+ | 0.0102 | 8.0 | 4368 | 0.2170 |
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+ | 0.0023 | 9.0 | 4914 | 0.2294 |
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+ | 0.0024 | 10.0 | 5460 | 0.2331 |
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  ### Framework versions
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+ - PEFT 0.10.0
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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