End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-Coder-0.5B
+tags:
+- generated_from_trainer
+model-index:
+- name: sparql-qwen
+  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. -->
+
+# sparql-qwen
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-0.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6232
+
+## 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
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.7485        | 0.1048 | 500   | 0.8336          |
+| 0.7336        | 0.2096 | 1000  | 0.7696          |
+| 0.6787        | 0.3143 | 1500  | 0.7376          |
+| 0.6756        | 0.4191 | 2000  | 0.7190          |
+| 0.6651        | 0.5239 | 2500  | 0.7038          |
+| 0.6835        | 0.6287 | 3000  | 0.6932          |
+| 0.6572        | 0.7334 | 3500  | 0.6810          |
+| 0.6664        | 0.8382 | 4000  | 0.6773          |
+| 0.6304        | 0.9430 | 4500  | 0.6675          |
+| 0.7408        | 1.0478 | 5000  | 0.6648          |
+| 0.7004        | 1.1526 | 5500  | 0.6616          |
+| 0.6466        | 1.2573 | 6000  | 0.6579          |
+| 0.6914        | 1.3621 | 6500  | 0.6543          |
+| 0.6885        | 1.4669 | 7000  | 0.6507          |
+| 0.6508        | 1.5717 | 7500  | 0.6478          |
+| 0.7039        | 1.6764 | 8000  | 0.6442          |
+| 0.665         | 1.7812 | 8500  | 0.6436          |
+| 0.6483        | 1.8860 | 9000  | 0.6405          |
+| 0.699         | 1.9908 | 9500  | 0.6373          |
+| 0.4961        | 2.0956 | 10000 | 0.6380          |
+| 0.5103        | 2.2003 | 10500 | 0.6367          |
+| 0.5443        | 2.3051 | 11000 | 0.6349          |
+| 0.4813        | 2.4099 | 11500 | 0.6340          |
+| 0.5555        | 2.5147 | 12000 | 0.6324          |
+| 0.5711        | 2.6194 | 12500 | 0.6313          |
+| 0.5088        | 2.7242 | 13000 | 0.6309          |
+| 0.492         | 2.8290 | 13500 | 0.6297          |
+| 0.4936        | 2.9338 | 14000 | 0.6267          |
+| 0.6411        | 3.0386 | 14500 | 0.6271          |
+| 0.6618        | 3.1433 | 15000 | 0.6267          |
+| 0.6212        | 3.2481 | 15500 | 0.6260          |
+| 0.6337        | 3.3529 | 16000 | 0.6253          |
+| 0.6412        | 3.4577 | 16500 | 0.6234          |
+| 0.6208        | 3.5624 | 17000 | 0.6232          |
+| 0.676         | 3.6672 | 17500 | 0.6226          |
+| 0.6465        | 3.7720 | 18000 | 0.6217          |
+| 0.6157        | 3.8768 | 18500 | 0.6210          |
+| 0.6622        | 3.9816 | 19000 | 0.6200          |
+| 0.4811        | 4.0863 | 19500 | 0.6219          |
+| 0.5264        | 4.1911 | 20000 | 0.6213          |
+| 0.4738        | 4.2959 | 20500 | 0.6232          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.46.3
+- Pytorch 2.4.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2.5-Coder-0.5B",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 2,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 4,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "k_proj",
+    "q_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Dec16_13-07-28_6bb746224038/events.out.tfevents.1734354452.6bb746224038.23.0

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training_args.bin

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