End of training

README.md

@@ -0,0 +1,80 @@
+---
+license: llama2
+base_model: codellama/CodeLlama-7b-Instruct-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: code-llama-instruct-7b-text-to-sparql-axiom-prefix
+  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-instruct-7b-text-to-sparql-axiom-prefix
+
+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: 0.0988
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.138         | 0.0710 | 20   | 1.0843          |
+| 0.6257        | 0.1421 | 40   | 0.3315          |
+| 0.1388        | 0.2131 | 60   | 0.1390          |
+| 0.1293        | 0.2842 | 80   | 0.1269          |
+| 0.1174        | 0.3552 | 100  | 0.1205          |
+| 0.1097        | 0.4263 | 120  | 0.1176          |
+| 0.1102        | 0.4973 | 140  | 0.1131          |
+| 0.1073        | 0.5684 | 160  | 0.1083          |
+| 0.1064        | 0.6394 | 180  | 0.1064          |
+| 0.1079        | 0.7105 | 200  | 0.1053          |
+| 0.1025        | 0.7815 | 220  | 0.1042          |
+| 0.1038        | 0.8526 | 240  | 0.1029          |
+| 0.0962        | 0.9236 | 260  | 0.1023          |
+| 0.1021        | 0.9947 | 280  | 0.1013          |
+| 0.098         | 1.0657 | 300  | 0.1008          |
+| 0.0964        | 1.1368 | 320  | 0.1003          |
+| 0.0961        | 1.2078 | 340  | 0.0997          |
+| 0.0948        | 1.2789 | 360  | 0.0994          |
+| 0.0955        | 1.3499 | 380  | 0.0989          |
+| 0.0988        | 1.4210 | 400  | 0.0988          |
+
+
+### 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-Instruct-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 sha256:53c35e7b9cfdc3a134b964ecbd6056a59e74fb6c1bfa961e0935113e888150ef
+size 67201802

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bde11237cd3b93c73f5d1e09fa64b2324b9204e8f8133e65f816c714db18c21e
+size 5240