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End of training

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  1. README.md +4 -2
README.md CHANGED
@@ -2,10 +2,10 @@
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  language:
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  - ko
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  license: apache-2.0
 
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  tags:
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  - hf-asr-leaderboard
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  - generated_from_trainer
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- base_model: openai/whisper-base
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  datasets:
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  - Drunk/mine
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  model-index:
@@ -26,6 +26,8 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i)
 
 
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  # test2
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mine dataset.
@@ -54,7 +56,7 @@ 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: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  language:
3
  - ko
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  license: apache-2.0
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+ base_model: openai/whisper-base
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  tags:
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  - hf-asr-leaderboard
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  - generated_from_trainer
 
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  datasets:
10
  - Drunk/mine
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  model-index:
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/drunkjin/huggingface/runs/wa7gys7i)
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  # test2
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mine dataset.
 
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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: 2
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  - mixed_precision_training: Native AMP
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  ### Training results