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futureProofGlitch
/
whisper-small-v2

Automatic Speech Recognition
Transformers
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English
whisper
Generated from Trainer
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End of training

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Files changed (3) hide show
  1. README.md +11 -6
  2. model.safetensors +1 -1
  3. runs/Mar18_18-25-55_f497e85d0054/events.out.tfevents.1710786356.f497e85d0054.4809.0 +2 -2
README.md CHANGED
@@ -24,7 +24,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 59.27575494338845
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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
@@ -34,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [futureProofGlitch/whisper-small](https://huggingface.co/futureProofGlitch/whisper-small) on the Gigaspeech dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1812
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- - Wer Ortho: 65.1852
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- - Wer: 59.2758
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  ## Model description
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@@ -62,14 +62,19 @@ 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: 50
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- - training_steps: 500
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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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- | 1.6925 | 0.5 | 500 | 1.1812 | 65.1852 | 59.2758 |
 
 
 
 
 
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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: 46.300985978395836
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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 [futureProofGlitch/whisper-small](https://huggingface.co/futureProofGlitch/whisper-small) on the Gigaspeech dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3434
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+ - Wer Ortho: 56.8717
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+ - Wer: 46.3010
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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: 50
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+ - training_steps: 3000
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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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+ | 0.2268 | 0.5 | 500 | 0.3308 | 29.8287 | 18.2124 |
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+ | 0.2039 | 0.99 | 1000 | 0.3082 | 28.3139 | 16.3612 |
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+ | 0.1071 | 1.49 | 1500 | 0.3209 | 30.5425 | 18.9117 |
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+ | 0.1174 | 1.98 | 2000 | 0.3140 | 51.1370 | 40.1655 |
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+ | 0.0555 | 2.48 | 2500 | 0.3525 | 65.5197 | 53.9069 |
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+ | 0.0603 | 2.98 | 3000 | 0.3434 | 56.8717 | 46.3010 |
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  ### Framework versions
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