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Phi-3-mini-4k-instruct-mbti

Text Classification
Transformers
Safetensors
phi3
Generated from Trainer
custom_code
text-generation-inference
Inference Endpoints
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  1. README.md +15 -5
  2. model-00001-of-00003.safetensors +1 -1
  3. model-00002-of-00003.safetensors +1 -1
  4. model-00003-of-00003.safetensors +1 -1
README.md CHANGED
@@ -13,13 +13,15 @@ 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/zmhzmh/huggingface/runs/hj3jt2n9)
 
 
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  # Phi-3-mini-4k-instruct-mbti
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: nan
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- - Accuracy: 0.2118
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  ## Model description
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@@ -47,13 +49,21 @@ 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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  - num_epochs: 2
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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 | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.004 | 1.0123 | 9000 | nan | 0.2118 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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/zmhzmh/huggingface/runs/h3uz5tey)
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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/zmhzmh/huggingface/runs/h3uz5tey)
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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/zmhzmh/huggingface/runs/h3uz5tey)
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  # Phi-3-mini-4k-instruct-mbti
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6615
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+ - Accuracy: 0.6220
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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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  - num_epochs: 2
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 0.7155 | 0.1977 | 500 | 0.7196 | 0.5898 |
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+ | 0.6873 | 0.3955 | 1000 | 0.6776 | 0.5931 |
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+ | 0.6841 | 0.5932 | 1500 | 0.6620 | 0.6058 |
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+ | 0.6746 | 0.7909 | 2000 | 0.6615 | 0.6220 |
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+ | 0.6655 | 0.9886 | 2500 | 0.6647 | 0.6133 |
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+ | 0.6092 | 1.1864 | 3000 | 0.6873 | 0.5716 |
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+ | 0.5661 | 1.3841 | 3500 | 0.7262 | 0.6092 |
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+ | 0.5565 | 1.5818 | 4000 | 0.6938 | 0.6185 |
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+ | 0.5308 | 1.7795 | 4500 | 0.7100 | 0.6060 |
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+ | 0.5236 | 1.9773 | 5000 | 0.7046 | 0.6127 |
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  ### Framework versions
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