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raghadOmar
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whisper-base-quran

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

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Files changed (4) hide show
  1. README.md +21 -21
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Jun02_12-06-26_5a57ccae467d/events.out.tfevents.1717330015.5a57ccae467d.177.0 +2 -2
README.md CHANGED
@@ -2,9 +2,9 @@
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  language:
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  - ar
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: tarteel-ai/whisper-base-ar-quran
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  datasets:
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  - zolfa
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  metrics:
@@ -13,16 +13,16 @@ model-index:
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  - name: Whisper-raghadomar
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  results:
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  - task:
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- type: automatic-speech-recognition
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  name: Automatic Speech Recognition
 
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  dataset:
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  name: Zolfa Dataset
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  type: zolfa
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  args: 'config: ar, split: test'
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  metrics:
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- - type: wer
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- value: 10.344827586206897
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- name: Wer
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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 [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0293
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- - Wer: 10.3448
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  ## Model description
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@@ -64,23 +64,23 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-------:|:----:|:---------------:|:-------:|
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- | 0.0006 | 4.7619 | 100 | 0.0060 | 6.8966 |
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- | 0.0004 | 9.5238 | 200 | 0.0233 | 10.3448 |
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- | 0.0004 | 14.2857 | 300 | 0.0199 | 10.3448 |
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- | 0.0002 | 19.0476 | 400 | 0.0309 | 10.3448 |
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- | 0.0004 | 23.8095 | 500 | 0.0253 | 10.3448 |
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- | 0.0002 | 28.5714 | 600 | 0.0284 | 10.3448 |
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- | 0.0002 | 33.3333 | 700 | 0.0275 | 10.3448 |
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- | 0.0002 | 38.0952 | 800 | 0.0301 | 10.3448 |
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- | 0.0001 | 42.8571 | 900 | 0.0286 | 10.3448 |
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- | 0.0001 | 47.6190 | 1000 | 0.0293 | 10.3448 |
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  ### Framework versions
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- - Transformers 4.41.0
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  language:
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  - ar
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  license: apache-2.0
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+ base_model: tarteel-ai/whisper-base-ar-quran
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  tags:
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  - generated_from_trainer
 
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  datasets:
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  - zolfa
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  metrics:
 
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  - name: Whisper-raghadomar
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  results:
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  - task:
 
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  name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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  dataset:
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  name: Zolfa Dataset
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  type: zolfa
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  args: 'config: ar, split: test'
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  metrics:
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+ - name: Wer
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+ type: wer
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+ value: 6.896551724137931
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  ---
27
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
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  This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0142
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+ - Wer: 6.8966
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 0.0023 | 4.5455 | 100 | 0.0063 | 6.8966 |
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+ | 0.0012 | 9.0909 | 200 | 0.0135 | 6.8966 |
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+ | 0.0005 | 13.6364 | 300 | 0.0109 | 6.8966 |
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+ | 0.0008 | 18.1818 | 400 | 0.0142 | 6.8966 |
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+ | 0.0006 | 22.7273 | 500 | 0.0105 | 6.8966 |
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+ | 0.0007 | 27.2727 | 600 | 0.0157 | 6.8966 |
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+ | 0.0009 | 31.8182 | 700 | 0.0153 | 6.8966 |
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+ | 0.0003 | 36.3636 | 800 | 0.0146 | 6.8966 |
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+ | 0.0005 | 40.9091 | 900 | 0.0135 | 6.8966 |
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+ | 0.0003 | 45.4545 | 1000 | 0.0142 | 6.8966 |
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  ### Framework versions
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
generation_config.json CHANGED
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  "max_length": 1024,
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  "pad_token_id": 50257,
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  "suppress_tokens": [],
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- "transformers_version": "4.41.0",
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  "use_cache": false
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  }
 
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  "max_length": 1024,
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  "pad_token_id": 50257,
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  "suppress_tokens": [],
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+ "transformers_version": "4.41.2",
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  "use_cache": false
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  }
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