End of training

README.md

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+---
+license: llama2
+base_model: codellama/CodeLlama-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: code-llama-sparql-lcquad-large-dbpedia
+  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. -->
+
+# code-llama-sparql-lcquad-large-dbpedia
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2040
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 400
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.3087        | 0.0184 | 20   | 1.3391          |
+| 1.0131        | 0.0368 | 40   | 0.7246          |
+| 0.5023        | 0.0553 | 60   | 0.4406          |
+| 0.4287        | 0.0737 | 80   | 0.3738          |
+| 0.3432        | 0.0921 | 100  | 0.3530          |
+| 0.2725        | 0.1105 | 120  | 0.3329          |
+| 0.2539        | 0.1290 | 140  | 0.2888          |
+| 0.2847        | 0.1474 | 160  | 0.2762          |
+| 0.253         | 0.1658 | 180  | 0.2598          |
+| 0.2168        | 0.1842 | 200  | 0.2480          |
+| 0.2194        | 0.2027 | 220  | 0.2516          |
+| 0.2123        | 0.2211 | 240  | 0.2300          |
+| 0.2366        | 0.2395 | 260  | 0.2180          |
+| 0.2129        | 0.2579 | 280  | 0.2181          |
+| 0.2073        | 0.2764 | 300  | 0.2154          |
+| 0.1992        | 0.2948 | 320  | 0.2086          |
+| 0.2086        | 0.3132 | 340  | 0.2069          |
+| 0.2237        | 0.3316 | 360  | 0.2056          |
+| 0.1982        | 0.3501 | 380  | 0.2043          |
+| 0.2039        | 0.3685 | 400  | 0.2040          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.10.1
+- Tokenizers 0.19.1

adapter_config.json

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

adapter_model.bin

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training_args.bin

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