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EYEDOL
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arabic-ASR

TensorBoard
Safetensors
Arabic
whisper
whisper-event
Generated from Trainer
Eval Results
Model card Files
xet
Metrics Community
EYEDOL commited on
Commit
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1 Parent(s): 7a81392

End of training

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Files changed (4) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Dec30_03-33-19_ec223925dec3/events.out.tfevents.1735529601.ec223925dec3.24.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -25,7 +25,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 105.79716002478916
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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
@@ -35,8 +35,8 @@ 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 Common Voice 17.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3706
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- - Wer: 105.7972
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  ## Model description
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@@ -62,15 +62,15 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - training_steps: 2000
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  - mixed_precision_training: Native AMP
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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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- | 0.333 | 0.2060 | 1000 | 0.4185 | 95.8748 |
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- | 0.2327 | 0.4119 | 2000 | 0.3706 | 105.7972 |
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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: 115.5525018187697
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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 Common Voice 17.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3729
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+ - Wer: 115.5525
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - training_steps: 2500
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  - mixed_precision_training: Native AMP
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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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+ | 0.3354 | 0.2060 | 1000 | 0.4203 | 94.8333 |
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+ | 0.2281 | 0.4119 | 2000 | 0.3729 | 115.5525 |
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  ### Framework versions
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