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charvibannur
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OpenAssistant-Phi2-QLoRA

PEFT
TensorBoard
Safetensors
Generated from Trainer
Model card Files Metrics Community
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End of training

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Files changed (11) hide show
  1. README.md +62 -0
  2. adapter_config.json +32 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +43 -0
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  7. runs/Jan18_04-34-28_2d6020058e7f/events.out.tfevents.1705552469.2d6020058e7f.1751.1 +3 -0
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  11. vocab.json +0 -0
README.md CHANGED
@@ -1,3 +1,65 @@
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  ---
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  license: mit
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: microsoft/phi-2
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+ model-index:
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+ - name: out
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+ results: []
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  ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # out
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+
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+ This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2759
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - num_epochs: 2
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.3107 | 0.5 | 276 | 0.3292 |
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+ | 0.2879 | 1.0 | 552 | 0.3003 |
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+ | 0.3 | 1.5 | 828 | 0.2873 |
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+ | 0.3341 | 1.99 | 1104 | 0.2759 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.2.dev0
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "fc2",
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_rslora": false
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+ }
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