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End of training

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  1. README.md +13 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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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:
@@ -10,13 +10,13 @@ datasets:
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Small Hi - Sanchit Gandhi
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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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  args: 'config: hi, split: test'
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  metrics:
@@ -28,11 +28,11 @@ model-index:
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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 - Sanchit Gandhi
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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: 0.0000
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  - Wer: 0.0
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  ## Model description
@@ -59,14 +59,17 @@ The following hyperparameters were used during training:
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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: 500
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- - training_steps: 1000
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  - mixed_precision_training: Native AMP
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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 | 1000.0 | 1000 | 0.0000 | 0.0 |
 
 
 
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  ### Framework versions
 
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  ---
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  language:
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+ - so
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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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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Small Somalia
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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: Somali Dataset
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  type: mozilla-foundation/common_voice_11_0
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  args: 'config: hi, split: test'
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  metrics:
 
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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 Somalia
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Somali Dataset dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0005
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  - Wer: 0.0
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  ## Model description
 
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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: 500
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+ - training_steps: 4000
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  - mixed_precision_training: Native AMP
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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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+ | 0.2361 | 6.5359 | 1000 | 0.0235 | 0.6506 |
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+ | 0.0062 | 13.0719 | 2000 | 0.0024 | 0.0 |
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+ | 0.0007 | 19.6078 | 3000 | 0.0006 | 0.0 |
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+ | 0.0005 | 26.1438 | 4000 | 0.0005 | 0.0 |
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  ### Framework versions
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