End of training

README.md

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+---
+license: llama2
+base_model: codellama/CodeLlama-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: yaml-generator-code-llama
+  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. -->
+
+# yaml-generator-code-llama
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2591
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 400
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2925        | 20.0  | 20   | 1.2292          |
+| 0.2156        | 40.0  | 40   | 0.9743          |
+| 0.07          | 60.0  | 60   | 1.4266          |
+| 0.007         | 80.0  | 80   | 2.0256          |
+| 0.0041        | 100.0 | 100  | 1.9838          |
+| 0.0015        | 120.0 | 120  | 2.0320          |
+| 0.0012        | 140.0 | 140  | 2.0818          |
+| 0.0012        | 160.0 | 160  | 2.1403          |
+| 0.0012        | 180.0 | 180  | 2.1771          |
+| 0.0012        | 200.0 | 200  | 2.1751          |
+| 0.0012        | 220.0 | 220  | 2.1825          |
+| 0.0012        | 240.0 | 240  | 2.2240          |
+| 0.0012        | 260.0 | 260  | 2.2226          |
+| 0.0012        | 280.0 | 280  | 2.2172          |
+| 0.0012        | 300.0 | 300  | 2.2235          |
+| 0.0012        | 320.0 | 320  | 2.2202          |
+| 0.0012        | 340.0 | 340  | 2.2471          |
+| 0.0012        | 360.0 | 360  | 2.2475          |
+| 0.0012        | 380.0 | 380  | 2.2709          |
+| 0.0012        | 400.0 | 400  | 2.2591          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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+oid sha256:e5e1621f48d9ad8feb1d6d31050275f0aafd080c5c07153301fe2f48411f4406
+size 443

training_args.bin

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