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eai6
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whisper-tiny.en

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
English
whisper
nyansapo_ai-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
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End of training

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  1. README.md +11 -9
  2. model.safetensors +1 -1
  3. runs/Mar24_12-24-44_Edwards-MacBook-Pro-2.local/events.out.tfevents.1711297484.Edwards-MacBook-Pro-2.local.91816.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-tiny.en
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- This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0759
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- - Wer: 71.7860
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  ## Model description
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@@ -45,17 +45,19 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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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: 250
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- - training_steps: 1000
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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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- | 3.07 | 2.76 | 250 | 0.4848 | 242.7955 |
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- | 0.4114 | 5.52 | 500 | 0.0852 | 76.2726 |
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- | 0.1862 | 8.29 | 750 | 0.0795 | 122.6057 |
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- | 0.1434 | 11.05 | 1000 | 0.0759 | 71.7860 |
 
 
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  ### Framework versions
 
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  # whisper-tiny.en
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+ This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0310
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+ - Wer: 81.8182
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  ## Model description
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  - total_train_batch_size: 32
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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: 1500
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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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+ | 3.695 | 3.11 | 250 | 1.2659 | 44.9495 |
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+ | 0.8192 | 6.21 | 500 | 0.0613 | 182.5253 |
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+ | 0.2123 | 9.32 | 750 | 0.0362 | 61.0101 |
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+ | 0.1294 | 12.42 | 1000 | 0.0336 | 39.1919 |
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+ | 0.1136 | 15.53 | 1250 | 0.0311 | 91.0101 |
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+ | 0.1042 | 18.63 | 1500 | 0.0310 | 81.8182 |
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  ### Framework versions
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