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sujithvemi
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whisper-medium-physician-dictation-gpt-4-turbo

Automatic Speech Recognition
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whisper
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End of training

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Files changed (3) hide show
  1. README.md +21 -8
  2. model.safetensors +1 -1
  3. runs/May15_12-32-13_150-230-33-168/events.out.tfevents.1715776334.150-230-33-168.66339.0 +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: 5.241881148093249
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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
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Physician Dictation GPT 4 Turbo dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1676
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- - Wer: 5.2419
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  ## Model description
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@@ -61,17 +61,30 @@ 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: 4000
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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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- | 0.001 | 7.9365 | 1000 | 0.1463 | 5.3182 |
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- | 0.0 | 15.8730 | 2000 | 0.1597 | 5.2015 |
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- | 0.0 | 23.8095 | 3000 | 0.1655 | 5.2015 |
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- | 0.0 | 31.7460 | 4000 | 0.1676 | 5.2419 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 5.7180074563176575
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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-medium](https://huggingface.co/openai/whisper-medium) on the Physician Dictation GPT 4 Turbo dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1587
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+ - Wer: 5.7180
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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: 8500
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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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+ | 0.0314 | 3.9683 | 500 | 0.1036 | 4.6175 |
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+ | 0.0088 | 7.9365 | 1000 | 0.1090 | 5.0712 |
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+ | 0.0009 | 11.9048 | 1500 | 0.1229 | 5.1880 |
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+ | 0.0013 | 15.8730 | 2000 | 0.1329 | 6.2211 |
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+ | 0.0031 | 19.8413 | 2500 | 0.1360 | 5.3227 |
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+ | 0.0004 | 23.8095 | 3000 | 0.1288 | 4.9589 |
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+ | 0.0008 | 27.7778 | 3500 | 0.1381 | 4.9724 |
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+ | 0.0001 | 31.7460 | 4000 | 0.1391 | 5.0667 |
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+ | 0.0001 | 35.7143 | 4500 | 0.1435 | 5.4710 |
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+ | 0.0001 | 39.6825 | 5000 | 0.1445 | 5.6821 |
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+ | 0.0002 | 43.6508 | 5500 | 0.1490 | 5.2194 |
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+ | 0.0 | 47.6190 | 6000 | 0.1510 | 5.8168 |
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+ | 0.0 | 51.5873 | 6500 | 0.1540 | 5.7899 |
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+ | 0.0 | 55.5556 | 7000 | 0.1559 | 5.8483 |
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+ | 0.0 | 59.5238 | 7500 | 0.1573 | 5.7135 |
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+ | 0.0 | 63.4921 | 8000 | 0.1583 | 5.7270 |
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+ | 0.0 | 67.4603 | 8500 | 0.1587 | 5.7180 |
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  ### Framework versions
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