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HeinrichWirth
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whisper-tiny_en

Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
HeinrichWirth commited on
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End of training

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Files changed (3) hide show
  1. README.md +13 -12
  2. pytorch_model.bin +1 -1
  3. 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: 34.56072351421189
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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: 0.5771
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- - Wer Ortho: 0.3668
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- - Wer: 34.5607
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  ## Model description
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@@ -60,17 +60,18 @@ 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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- | 2.3696 | 3.57 | 100 | 2.3300 | 0.4744 | 36.8863 |
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- | 0.7034 | 7.14 | 200 | 0.7943 | 0.4206 | 37.0801 |
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- | 0.466 | 10.71 | 300 | 0.6352 | 0.3923 | 36.1111 |
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- | 0.3367 | 14.29 | 400 | 0.5936 | 0.3863 | 36.4987 |
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- | 0.2717 | 17.86 | 500 | 0.5771 | 0.3668 | 34.5607 |
 
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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: 0.36304909560723514
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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: 0.6349
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+ - Wer Ortho: 0.3964
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+ - Wer: 0.3630
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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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+ | 3.8643 | 1.79 | 50 | 3.5786 | 0.5114 | 0.3714 |
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+ | 2.4042 | 3.57 | 100 | 2.3266 | 0.4657 | 0.3689 |
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+ | 1.4319 | 5.36 | 150 | 1.3619 | 0.4367 | 0.3702 |
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+ | 0.7558 | 7.14 | 200 | 0.7935 | 0.4213 | 0.3721 |
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+ | 0.524 | 8.93 | 250 | 0.6820 | 0.4078 | 0.3721 |
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+ | 0.4702 | 10.71 | 300 | 0.6349 | 0.3964 | 0.3630 |
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  ### Framework versions
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