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Ellight
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whisper-tiny-en

Automatic Speech Recognition
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whisper
Generated from Trainer
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Ellight commited on
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1 Parent(s): 49384e3

End of training

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Files changed (4) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/May17_17-06-28_15f49e3d5b88/events.out.tfevents.1715965592.15f49e3d5b88.179.1 +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: 0.3547815820543093
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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
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5001
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- - Wer Ortho: 0.3609
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- - Wer: 0.3548
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  ## Model description
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@@ -60,14 +60,14 @@ 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: constant_with_warmup
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  - lr_scheduler_warmup_steps: 5
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- - training_steps: 50
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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 Ortho | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
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- | 0.4728 | 1.7857 | 50 | 0.5001 | 0.3609 | 0.3548 |
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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: 0.3140495867768595
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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-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5100
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+ - Wer Ortho: 0.3233
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+ - Wer: 0.3140
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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: constant_with_warmup
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  - lr_scheduler_warmup_steps: 5
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+ - training_steps: 100
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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 Ortho | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
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+ | 0.101 | 3.5714 | 100 | 0.5100 | 0.3233 | 0.3140 |
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  ### Framework versions
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