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End of training

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  1. README.md +14 -19
  2. model.safetensors +1 -1
README.md CHANGED
@@ -2,9 +2,9 @@
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  language:
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  - ru
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: openai/whisper-tiny
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  datasets:
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  - bond005/podlodka_speech
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  metrics:
@@ -13,16 +13,16 @@ model-index:
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  - name: whisper-tiny-ru
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  results:
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  - task:
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- type: automatic-speech-recognition
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  name: Automatic Speech Recognition
 
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  dataset:
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  name: Podlodka Speech
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  type: bond005/podlodka_speech
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  args: 'config: ru, split: test'
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  metrics:
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- - type: wer
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- value: 99.38757655293088
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- name: Wer
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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
@@ -32,8 +32,8 @@ 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 Podlodka Speech dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4991
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- - Wer: 99.3876
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  ## Model description
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@@ -58,23 +58,18 @@ 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: linear
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- - lr_scheduler_warmup_steps: 100
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- - training_steps: 500
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 0.295 | 5.5556 | 50 | 1.1982 | 83.2896 |
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- | 0.1297 | 11.1111 | 100 | 1.2768 | 76.0280 |
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- | 0.0517 | 16.6667 | 150 | 1.3594 | 72.5284 |
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- | 0.0203 | 22.2222 | 200 | 1.3969 | 85.4768 |
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- | 0.0094 | 27.7778 | 250 | 1.4394 | 104.2870 |
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- | 0.0061 | 33.3333 | 300 | 1.4646 | 87.8390 |
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- | 0.0049 | 38.8889 | 350 | 1.4813 | 90.4637 |
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- | 0.0043 | 44.4444 | 400 | 1.4909 | 86.7017 |
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- | 0.004 | 50.0 | 450 | 1.4973 | 99.6500 |
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- | 0.0038 | 55.5556 | 500 | 1.4991 | 99.3876 |
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  ### Framework versions
 
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  language:
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  - ru
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  license: apache-2.0
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+ base_model: openai/whisper-tiny
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  tags:
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  - generated_from_trainer
 
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  datasets:
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  - bond005/podlodka_speech
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  metrics:
 
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  - name: whisper-tiny-ru
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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: Podlodka Speech
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  type: bond005/podlodka_speech
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  args: 'config: ru, split: test'
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  metrics:
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+ - name: Wer
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+ type: wer
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+ value: 96.58792650918635
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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 Podlodka Speech dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2475
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+ - Wer: 96.5879
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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: linear
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+ - lr_scheduler_warmup_steps: 40
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+ - training_steps: 200
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 0.9999 | 4.4444 | 40 | 1.2054 | 71.8285 |
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+ | 0.4535 | 8.8889 | 80 | 1.1539 | 73.2283 |
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+ | 0.2849 | 13.3333 | 120 | 1.1958 | 104.5494 |
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+ | 0.1674 | 17.7778 | 160 | 1.2339 | 79.0901 |
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+ | 0.1372 | 22.2222 | 200 | 1.2475 | 96.5879 |
 
 
 
 
 
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  ### Framework versions
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