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sonnygeorge
/
whisper-tiny-papi

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
ASR
Papiamentu
Whisper
Speech Recognition
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
sonnygeorge commited on
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End of training

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Files changed (3) hide show
  1. README.md +9 -26
  2. model.safetensors +1 -1
  3. runs/Dec16_02-13-20_ba5c921098ca/events.out.tfevents.1702692801.ba5c921098ca.14331.7 +2 -2
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 65.51368094992256
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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
@@ -33,9 +33,9 @@ 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 Papi ASR dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7807
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- - Wer: 65.5137
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- - Cer: 40.6410
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  ## Model description
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@@ -60,34 +60,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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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: 10
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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 | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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- | No log | 0.01 | 5 | 2.0665 | 85.5299 | 34.0333 |
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- | No log | 0.01 | 10 | 1.8070 | 82.8527 | 30.8192 |
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- | No log | 0.02 | 15 | 1.5071 | 82.2111 | 38.9217 |
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- | No log | 0.03 | 20 | 1.3323 | 84.4015 | 57.8317 |
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- | 1.6034 | 0.04 | 25 | 1.2162 | 86.8353 | 66.3752 |
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- | 1.6034 | 0.04 | 30 | 1.1291 | 85.2939 | 64.6158 |
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- | 1.6034 | 0.05 | 35 | 1.0597 | 83.7377 | 62.4571 |
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- | 1.6034 | 0.06 | 40 | 1.0059 | 81.0310 | 58.4058 |
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- | 1.6034 | 0.07 | 45 | 0.9589 | 77.0042 | 53.9104 |
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- | 0.9748 | 0.07 | 50 | 0.9209 | 74.7843 | 51.4639 |
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- | 0.9748 | 0.08 | 55 | 0.8917 | 73.7075 | 50.3048 |
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- | 0.9748 | 0.09 | 60 | 0.8675 | 72.9331 | 49.3238 |
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- | 0.9748 | 0.1 | 65 | 0.8470 | 71.5466 | 47.7252 |
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- | 0.9748 | 0.1 | 70 | 0.8304 | 70.7796 | 46.7612 |
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- | 0.8138 | 0.11 | 75 | 0.8166 | 69.7692 | 45.3762 |
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- | 0.8138 | 0.12 | 80 | 0.8042 | 67.9696 | 43.6446 |
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- | 0.8138 | 0.13 | 85 | 0.7947 | 66.9666 | 42.8322 |
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- | 0.8138 | 0.13 | 90 | 0.7881 | 65.6907 | 41.1903 |
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- | 0.8138 | 0.14 | 95 | 0.7832 | 65.5063 | 40.7261 |
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- | 0.7389 | 0.15 | 100 | 0.7807 | 65.5137 | 40.6410 |
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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: 43.55778449738181
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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 Papi ASR dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5097
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+ - Wer: 43.5578
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+ - Cer: 21.6799
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  ## Model description
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  - seed: 42
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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: 3
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+ - training_steps: 150
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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 | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | 0.5202 | 0.07 | 50 | 0.6086 | 53.0423 | 30.5887 |
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+ | 0.4887 | 0.15 | 100 | 0.5316 | 45.0254 | 21.4973 |
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+ | 0.4872 | 0.22 | 150 | 0.5097 | 43.5578 | 21.6799 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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