End of training

README.md

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+---
+license: llama2
+base_model: codellama/CodeLlama-13b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: code-llama-13b-text-to-sparql
+  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-13b-text-to-sparql
+
+This model is a fine-tuned version of [codellama/CodeLlama-13b-hf](https://huggingface.co/codellama/CodeLlama-13b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1870
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1121        | 0.0710 | 20   | 1.0865          |
+| 0.6067        | 0.1421 | 40   | 0.3437          |
+| 0.2982        | 0.2131 | 60   | 0.2775          |
+| 0.2433        | 0.2842 | 80   | 0.2465          |
+| 0.2162        | 0.3552 | 100  | 0.2657          |
+| 0.2308        | 0.4263 | 120  | 0.2303          |
+| 0.2356        | 0.4973 | 140  | 0.2217          |
+| 0.239         | 0.5684 | 160  | 0.2167          |
+| 0.2159        | 0.6394 | 180  | 0.2112          |
+| 0.2005        | 0.7105 | 200  | 0.2217          |
+| 0.2177        | 0.7815 | 220  | 0.2070          |
+| 0.2048        | 0.8526 | 240  | 0.2018          |
+| 0.2092        | 0.9236 | 260  | 0.1976          |
+| 0.2057        | 0.9947 | 280  | 0.1959          |
+| 0.198         | 1.0657 | 300  | 0.1929          |
+| 0.1988        | 1.1368 | 320  | 0.1908          |
+| 0.1886        | 1.2078 | 340  | 0.1906          |
+| 0.1927        | 1.2789 | 360  | 0.1883          |
+| 0.1841        | 1.3499 | 380  | 0.1872          |
+| 0.1863        | 1.4210 | 400  | 0.1870          |
+
+
+### 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-13b-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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+size 104973834

training_args.bin

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