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End of training

Browse files
README.md CHANGED
@@ -9,22 +9,9 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - Chinese_english
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- metrics:
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- - wer
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  model-index:
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  - name: Whisper tiny Chinese with pitch pertubation
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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: Chinese English
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- type: Chinese_english
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- args: 'config: default, split: test'
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- metrics:
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- - name: Wer
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- type: wer
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- value: 14.996028594122318
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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 +21,13 @@ 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 Chinese English dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3520
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- - Wer: 14.9960
 
 
 
 
 
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  ## Model description
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@@ -57,23 +49,11 @@ The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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  - train_batch_size: 2
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  - eval_batch_size: 1
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- - seed: 44
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - training_steps: 1200
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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 |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|
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- | 0.2421 | 0.2222 | 200 | 0.4202 | 23.3360 |
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- | 0.2459 | 0.4444 | 400 | 0.3732 | 16.8070 |
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- | 0.2165 | 0.6667 | 600 | 0.3562 | 16.3463 |
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- | 0.0863 | 0.8889 | 800 | 0.3516 | 15.9492 |
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- | 0.019 | 1.1111 | 1000 | 0.3548 | 15.6632 |
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- | 0.0294 | 1.3333 | 1200 | 0.3520 | 14.9960 |
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-
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  ### Framework versions
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  - generated_from_trainer
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  datasets:
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  - Chinese_english
 
 
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  model-index:
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  - name: Whisper tiny Chinese with pitch pertubation
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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
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Chinese English dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.3707
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+ - eval_wer: 15.5838
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+ - eval_runtime: 191.7975
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+ - eval_samples_per_second: 3.28
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+ - eval_steps_per_second: 3.28
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+ - epoch: 1.7778
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+ - step: 1600
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  ## Model description
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  - learning_rate: 1e-05
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  - train_batch_size: 2
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  - eval_batch_size: 1
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+ - seed: 43
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - training_steps: 2000
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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