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prithviraj-maurya/phi-3-mini-general-ift

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README.md CHANGED
@@ -12,6 +12,7 @@ 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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  [<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/prithviraj/huggingface/runs/eccgtrnb)
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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/prithviraj/huggingface/runs/eccgtrnb)
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  # phi-3-mini-general-ift
@@ -44,9 +45,13 @@ 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: 2
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- - training_steps: 10
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.10.1.dev0
 
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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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+ [<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/prithviraj/huggingface/runs/eccgtrnb)
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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/prithviraj/huggingface/runs/eccgtrnb)
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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/prithviraj/huggingface/runs/eccgtrnb)
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  # phi-3-mini-general-ift
 
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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: 2
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+ - training_steps: 5
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+
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+
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  ### Framework versions
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  - PEFT 0.10.1.dev0
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