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End of training

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  1. README.md +32 -2
  2. model.safetensors +1 -1
README.md CHANGED
@@ -5,9 +5,24 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - PolyAI/minds14
 
 
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  model-index:
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  - name: whisper-tiny-finetuned-minds14-en
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -16,6 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-tiny-finetuned-minds14-en
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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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  ## Model description
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@@ -41,9 +60,20 @@ 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: cosine
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  - lr_scheduler_warmup_ratio: 0.1
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- - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.37.2
 
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  - generated_from_trainer
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  datasets:
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  - PolyAI/minds14
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+ metrics:
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+ - wer
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  model-index:
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  - name: whisper-tiny-finetuned-minds14-en
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: PolyAI/minds14
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+ type: PolyAI/minds14
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+ config: en-US
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+ split: train
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+ args: en-US
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.3565525383707202
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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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  # whisper-tiny-finetuned-minds14-en
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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: 0.5637
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+ - Wer Ortho: 0.3720
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+ - Wer: 0.3566
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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: cosine
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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+ | 1.2092 | 2.0 | 56 | 0.6048 | 0.4065 | 0.3908 |
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+ | 0.2742 | 4.0 | 112 | 0.5197 | 0.3714 | 0.3577 |
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+ | 0.1131 | 6.0 | 168 | 0.5391 | 0.3671 | 0.3512 |
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+ | 0.0599 | 8.0 | 224 | 0.5592 | 0.3701 | 0.3548 |
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+ | 0.0382 | 10.0 | 280 | 0.5637 | 0.3720 | 0.3566 |
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+
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+
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  ### Framework versions
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  - Transformers 4.37.2
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