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End of training

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  1. README.md +15 -15
  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: 88.10148731408573
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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: 1.2591
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- - Wer: 88.1015
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  ## Model description
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@@ -58,18 +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: 80
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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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- | 1.0155 | 4.4444 | 40 | 1.2150 | 56.6929 |
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- | 0.5695 | 8.8889 | 80 | 1.1441 | 72.5284 |
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- | 0.313 | 13.3333 | 120 | 1.1928 | 79.6150 |
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- | 0.1649 | 17.7778 | 160 | 1.2400 | 84.5144 |
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- | 0.1266 | 22.2222 | 200 | 1.2591 | 88.1015 |
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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: 83.72703412073491
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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: 83.7270
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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 | 1.2341 | 79.2651 |
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+ | 0.1372 | 22.2222 | 200 | 1.2475 | 83.7270 |
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  ### Framework versions
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