End of training

README.md

@@ -0,0 +1,80 @@
+---
+license: llama2
+base_model: codellama/CodeLlama-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: code-llama-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-sparql
+
+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: 0.1965
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|
+| 1.595         | 0.6452  | 20   | 1.4627          |
+| 1.045         | 1.2903  | 40   | 0.8255          |
+| 0.4681        | 1.9355  | 60   | 0.5047          |
+| 0.4022        | 2.5806  | 80   | 0.4470          |
+| 0.3568        | 3.2258  | 100  | 0.4118          |
+| 0.3274        | 3.8710  | 120  | 0.3768          |
+| 0.2955        | 4.5161  | 140  | 0.3576          |
+| 0.2786        | 5.1613  | 160  | 0.3408          |
+| 0.2778        | 5.8065  | 180  | 0.3174          |
+| 0.2247        | 6.4516  | 200  | 0.2986          |
+| 0.2201        | 7.0968  | 220  | 0.2766          |
+| 0.2232        | 7.7419  | 240  | 0.2628          |
+| 0.1917        | 8.3871  | 260  | 0.2500          |
+| 0.196         | 9.0323  | 280  | 0.2391          |
+| 0.1738        | 9.6774  | 300  | 0.2260          |
+| 0.1612        | 10.3226 | 320  | 0.2140          |
+| 0.1556        | 10.9677 | 340  | 0.2082          |
+| 0.1458        | 11.6129 | 360  | 0.2033          |
+| 0.142         | 12.2581 | 380  | 0.1973          |
+| 0.1383        | 12.9032 | 400  | 0.1965          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.10.1
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,21 @@
+{
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15c33c84048973bad0e1fdb368ba00e211f4102a99adc706ba0d80ff03b2010a
+size 67201802

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7887ab10108fc07b50d6046a0a20910934fddec2563656382683ba2fb818c7b
+size 5176