FirstLast/phi-2-conversation-finetuned-0.2

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: cognitivecomputations/dolphin-2_6-phi-2
+model-index:
+- name: phi-2-conversation-finetuned-0.2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# phi-2-conversation-finetuned-0.2
+
+This model is a fine-tuned version of [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 100
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.1
+- Pytorch 2.0.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+  "target_modules": [
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+    "Wqkv"
+  ],
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+  "use_dora": true,
+  "use_rslora": false
+}

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