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End of training

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README.md CHANGED
@@ -1,40 +1,42 @@
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  ---
 
 
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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  datasets:
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- - audiofolder
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  metrics:
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  - wer
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  model-index:
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- - name: test-model
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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: audiofolder
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- type: audiofolder
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  config: custom_data
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  split: test
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  args: custom_data
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  metrics:
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  - name: Wer
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  type: wer
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- value: 83.33333333333334
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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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  should probably proofread and complete it, then remove this comment. -->
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- # test-model
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1527
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- - Wer Ortho: 91.6667
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- - Wer: 83.3333
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  ## Model description
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@@ -59,15 +61,14 @@ The following hyperparameters were used during training:
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  - seed: 42
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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: 1
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- - training_steps: 4
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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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- | 4.6983 | 0.29 | 2 | 3.6278 | 91.6667 | 83.3333 |
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- | 3.2746 | 0.57 | 4 | 2.1527 | 91.6667 | 83.3333 |
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  ### Framework versions
 
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  ---
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+ language:
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+ - dv
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - mozilla-foundation/common_voice_13_0
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  metrics:
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  - wer
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  model-index:
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+ - name: custom_data_test
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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: Common Voice 13
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+ type: mozilla-foundation/common_voice_13_0
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  config: custom_data
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  split: test
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  args: custom_data
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 8.333333333333332
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # custom_data_test
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1513
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+ - Wer Ortho: 8.3333
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+ - Wer: 8.3333
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  ## Model description
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  - seed: 42
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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: 2
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+ - training_steps: 20
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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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+ | 1.1613 | 2.71 | 19 | 1.1513 | 8.3333 | 8.3333 |
 
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  ### Framework versions
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