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End of training

Browse files
README.md CHANGED
@@ -1,21 +1,21 @@
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  ---
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- base_model: openai/whisper-medium
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- datasets:
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- - mozilla-foundation/common_voice_11_0
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  language:
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  - id
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- library_name: transformers
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  license: apache-2.0
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- metrics:
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- - wer
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: whisper-medium-id
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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: Common Voice 11.0
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  type: mozilla-foundation/common_voice_11_0
@@ -23,9 +23,9 @@ model-index:
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  split: test
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  args: 'config: id, split: test'
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  metrics:
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- - type: wer
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- value: 13.595981208428299
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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
@@ -36,7 +36,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2226
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- - Wer: 13.5960
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  ## Model description
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@@ -69,11 +69,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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- | 0.2024 | 1.9305 | 1000 | 0.1830 | 13.1076 |
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- | 0.109 | 3.8610 | 2000 | 0.1825 | 13.0750 |
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- | 0.0608 | 5.7915 | 3000 | 0.1949 | 13.2797 |
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- | 0.0327 | 7.7220 | 4000 | 0.2128 | 13.4750 |
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- | 0.0258 | 9.6525 | 5000 | 0.2226 | 13.5960 |
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  ### Framework versions
 
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  ---
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+ library_name: transformers
 
 
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  language:
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  - id
 
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  license: apache-2.0
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+ base_model: openai/whisper-medium
 
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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_11_0
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+ metrics:
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+ - wer
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  model-index:
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  - name: whisper-medium-id
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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 11.0
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  type: mozilla-foundation/common_voice_11_0
 
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  split: test
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  args: 'config: id, split: test'
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  metrics:
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+ - name: Wer
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+ type: wer
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+ value: 13.605283966696124
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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-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2226
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+ - Wer: 13.6053
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.2022 | 1.9305 | 1000 | 0.1830 | 13.1308 |
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+ | 0.1089 | 3.8610 | 2000 | 0.1824 | 13.0192 |
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+ | 0.0609 | 5.7915 | 3000 | 0.1949 | 13.2657 |
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+ | 0.0327 | 7.7220 | 4000 | 0.2125 | 13.4797 |
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+ | 0.0257 | 9.6525 | 5000 | 0.2226 | 13.6053 |
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  ### Framework versions
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