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  1. README.md +8 -21
  2. model.safetensors +1 -1
README.md CHANGED
@@ -4,24 +4,11 @@ license: apache-2.0
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  base_model: openai/whisper-base
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  tags:
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  - generated_from_trainer
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- datasets:
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- - razhan/DOLMA-speech
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  metrics:
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  - wer
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  model-index:
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  - name: whisper-base-lki
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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: razhan/DOLMA-speech laki_kurdish
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- type: razhan/DOLMA-speech
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- args: laki_kurdish
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- metrics:
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- - name: Wer
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- type: wer
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- value: 1.113034875092753
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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
@@ -29,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-base-lki
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- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the razhan/DOLMA-speech laki_kurdish dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.0246
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- - Wer: 1.1130
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- - Cer: 0.5701
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  ## Model description
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@@ -62,7 +49,7 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 256
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 100
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  - num_epochs: 5.0
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  - mixed_precision_training: Native AMP
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@@ -73,8 +60,8 @@ The following hyperparameters were used during training:
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  | No log | 1.0 | 2 | 4.0312 | 1.1143 | 0.5721 |
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  | No log | 2.0 | 4 | 4.0312 | 1.1143 | 0.5721 |
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  | No log | 3.0 | 6 | 4.0312 | 1.1143 | 0.5721 |
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- | No log | 4.0 | 8 | 4.0309 | 1.1138 | 0.5721 |
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- | 4.0162 | 5.0 | 10 | 4.0246 | 1.1130 | 0.5701 |
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  ### Framework versions
 
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  base_model: openai/whisper-base
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - wer
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  model-index:
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  - name: whisper-base-lki
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
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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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  # whisper-base-lki
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8590
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+ - Wer: 1.0084
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+ - Cer: 0.5076
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  ## Model description
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  - total_eval_batch_size: 256
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1
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  - num_epochs: 5.0
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  - mixed_precision_training: Native AMP
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  | No log | 1.0 | 2 | 4.0312 | 1.1143 | 0.5721 |
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  | No log | 2.0 | 4 | 4.0312 | 1.1143 | 0.5721 |
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  | No log | 3.0 | 6 | 4.0312 | 1.1143 | 0.5721 |
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+ | No log | 4.0 | 8 | 3.4312 | 1.1106 | 0.5898 |
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+ | 3.8716 | 5.0 | 10 | 2.8590 | 1.0084 | 0.5076 |
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  ### Framework versions
model.safetensors CHANGED
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