Model save

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: codellama/CodeLlama-7b-Instruct-hf
+model-index:
+- name: finetuningqv1
+  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. -->
+
+# finetuningqv1
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0262
+
+## 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: 0.001
+- train_batch_size: 20
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.688         | 1.0   | 1    | 2.7935          |
+| 2.3134        | 2.0   | 2    | 2.3100          |
+| 1.8897        | 3.0   | 3    | 2.0244          |
+| 1.5882        | 4.0   | 4    | 1.7493          |
+| 1.3105        | 5.0   | 5    | 1.4693          |
+| 1.0045        | 6.0   | 6    | 1.2401          |
+| 0.7371        | 7.0   | 7    | 1.0937          |
+| 0.5443        | 8.0   | 8    | 1.0262          |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.0.1
+- Datasets 2.16.1
+- Tokenizers 0.15.1
+## Training procedure
+
+
+### Framework versions
+
+
+- PEFT 0.6.0

adapter_config.json

@@ -16,8 +16,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "q_proj"
+    "q_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

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training_args.bin

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