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README.md

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----
-license: apache-2.0
----
+---
+base_model: codellama/CodeLlama-7b-Instruct-hf
+library_name: peft
+license: llama2
+tags:
+- generated_from_trainer
+model-index:
+- name: codellama-adb-sdk
+  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. -->
+
+# codellama-adb-sdk
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9731
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2695        | 0.05  | 100  | 0.5778          |
+| 0.0568        | 0.1   | 200  | 0.7456          |
+| 0.0411        | 0.15  | 300  | 0.8092          |
+| 0.0366        | 0.2   | 400  | 0.8567          |
+| 0.032         | 0.25  | 500  | 0.8574          |
+| 0.0256        | 0.3   | 600  | 0.8451          |
+| 0.0258        | 0.35  | 700  | 0.8729          |
+| 0.0245        | 0.4   | 800  | 0.8760          |
+| 0.0222        | 0.45  | 900  | 0.8999          |
+| 0.0199        | 0.5   | 1000 | 0.8617          |
+| 0.0215        | 0.55  | 1100 | 0.9148          |
+| 0.0226        | 0.6   | 1200 | 0.9237          |
+| 0.0206        | 0.65  | 1300 | 0.9307          |
+| 0.0209        | 0.7   | 1400 | 0.9392          |
+| 0.0184        | 0.75  | 1500 | 0.9659          |
+| 0.0189        | 0.8   | 1600 | 0.9492          |
+| 0.0202        | 0.85  | 1700 | 0.9660          |
+| 0.0192        | 0.9   | 1800 | 0.9668          |
+| 0.0176        | 0.95  | 1900 | 0.9722          |
+| 0.0186        | 1.0   | 2000 | 0.9731          |
+
+
+### Framework versions
+
+- PEFT 0.13.2.dev0
+- Transformers 4.46.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
+  "bias": "none",
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "up_proj",
+    "k_proj",
+    "q_proj",
+    "gate_proj",
+    "o_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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training_args.bin

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