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vineetsharma
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whisper-tiny-finetuned-minds14-en-v2

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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.34297520661157027
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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
@@ -31,9 +31,9 @@ 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: 0.6386
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- - Wer Ortho: 0.3461
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- - Wer: 0.3430
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  ## Model description
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@@ -59,22 +59,18 @@ 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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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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- | 1.7971 | 1.79 | 50 | 0.7476 | 0.4411 | 0.4008 |
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- | 0.3112 | 3.57 | 100 | 0.4953 | 0.3560 | 0.3453 |
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- | 0.1214 | 5.36 | 150 | 0.5073 | 0.3763 | 0.3589 |
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- | 0.0359 | 7.14 | 200 | 0.5244 | 0.3442 | 0.3347 |
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- | 0.011 | 8.93 | 250 | 0.5569 | 0.3510 | 0.3371 |
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- | 0.0038 | 10.71 | 300 | 0.5903 | 0.3393 | 0.3329 |
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- | 0.0019 | 12.5 | 350 | 0.6068 | 0.3405 | 0.3353 |
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- | 0.0012 | 14.29 | 400 | 0.6175 | 0.3418 | 0.3377 |
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- | 0.0012 | 16.07 | 450 | 0.6253 | 0.3362 | 0.3329 |
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- | 0.0013 | 17.86 | 500 | 0.6386 | 0.3461 | 0.3430 |
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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: 0.33530106257378983
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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: 0.6804
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+ - Wer Ortho: 0.3362
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+ - Wer: 0.3353
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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: 300
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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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+ | 0.0014 | 1.79 | 50 | 0.6437 | 0.3708 | 0.3648 |
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+ | 0.0012 | 3.57 | 100 | 0.6664 | 0.3461 | 0.3353 |
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+ | 0.0113 | 5.36 | 150 | 0.6338 | 0.3374 | 0.3353 |
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+ | 0.0021 | 7.14 | 200 | 0.6466 | 0.3467 | 0.3453 |
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+ | 0.0013 | 8.93 | 250 | 0.6690 | 0.3399 | 0.3383 |
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+ | 0.0006 | 10.71 | 300 | 0.6804 | 0.3362 | 0.3353 |
 
 
 
 
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  ### Framework versions