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End of training

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  1. README.md +30 -10
  2. pytorch_model.bin +1 -1
README.md CHANGED
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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-dv
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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
@@ -17,14 +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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- - eval_loss: 0.6233
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- - eval_wer_ortho: 0.3499
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- - eval_wer: 0.3463
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- - eval_runtime: 28.4463
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- - eval_samples_per_second: 3.972
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- - eval_steps_per_second: 0.281
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- - epoch: 2.0
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- - step: 56
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  ## Model description
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@@ -50,7 +60,17 @@ 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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  ### Framework versions
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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-dv
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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: 0.3520671834625323
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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: 0.6490
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+ - Wer Ortho: 0.3567
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+ - Wer: 0.3521
 
 
 
 
 
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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: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Wer Ortho |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|
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+ | 0.022 | 1.0 | 28 | 0.5935 | 0.3605 | 0.3661 |
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+ | 0.0158 | 2.0 | 56 | 0.6233 | 0.3463 | 0.3499 |
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+ | 0.0067 | 3.0 | 84 | 0.6469 | 0.3546 | 0.3521 |
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+ | 0.0066 | 3.57 | 100 | 0.6490 | 0.3567 | 0.3521 |
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+
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  ### Framework versions
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