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End of training

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README.md CHANGED
@@ -1,41 +1,41 @@
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  ---
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  language:
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- - te
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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_17_0
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Small Telugu - Mukund Vahinipathi
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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 17.0
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- type: mozilla-foundation/common_voice_17_0
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- config: te
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  split: None
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  args: 'config: hi, split: test'
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  metrics:
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  - name: Wer
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  type: wer
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- value: 85.16483516483517
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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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- # Whisper Small Telugu - Mukund Vahinipathi
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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 17.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0586
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- - Wer: 85.1648
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  ## Model description
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@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
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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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- | 0.0 | 142.8571 | 1000 | 0.8112 | 85.1648 |
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- | 0.0 | 285.7143 | 2000 | 0.9179 | 85.1648 |
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- | 0.0 | 428.5714 | 3000 | 1.0129 | 85.7143 |
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- | 0.0 | 571.4286 | 4000 | 1.0586 | 85.1648 |
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  ### Framework versions
 
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  ---
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  language:
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+ - hi
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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_11_0
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Small Hi - Mukund Vahinipathi
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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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+ config: hi
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  split: None
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  args: 'config: hi, split: test'
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 32.77321594853128
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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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+ # Whisper Small Hi - Mukund Vahinipathi
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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 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4415
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+ - Wer: 32.7732
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  ## Model description
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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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+ | 0.0917 | 2.4450 | 1000 | 0.2977 | 34.9149 |
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+ | 0.0207 | 4.8900 | 2000 | 0.3538 | 33.8356 |
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+ | 0.0013 | 7.3350 | 3000 | 0.4184 | 32.7521 |
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+ | 0.0005 | 9.7800 | 4000 | 0.4415 | 32.7732 |
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  ### Framework versions
generation_config.json CHANGED
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  "<|yo|>": 50325,
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  "<|zh|>": 50260
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  },
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- "language": "telugu",
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  "max_initial_timestamp_index": 50,
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  "max_length": 448,
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  "no_timestamps_token_id": 50363,
 
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  "<|yo|>": 50325,
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  "<|zh|>": 50260
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  },
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+ "language": "hindi",
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  "max_initial_timestamp_index": 50,
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  "max_length": 448,
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  "no_timestamps_token_id": 50363,
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