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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,77 @@
+---
+library_name: peft
+license: other
+base_model: Qwen/Qwen2.5-32B-Instruct
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+model-index:
+- name: MATH_training_QwQ_32B_Preview
+  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. -->
+
+# MATH_training_QwQ_32B_Preview
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the MATH_training_Qwen_QwQ_32B_Preview dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1193
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 4
+- total_eval_batch_size: 4
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.2322        | 0.1564 | 200  | 0.2143          |
+| 0.1419        | 0.3127 | 400  | 0.1674          |
+| 0.1137        | 0.4691 | 600  | 0.1510          |
+| 0.1457        | 0.6255 | 800  | 0.1406          |
+| 0.0953        | 0.7819 | 1000 | 0.1333          |
+| 0.1201        | 0.9382 | 1200 | 0.1268          |
+| 0.0899        | 1.0946 | 1400 | 0.1289          |
+| 0.0548        | 1.2510 | 1600 | 0.1269          |
+| 0.0323        | 1.4073 | 1800 | 0.1240          |
+| 0.0414        | 1.5637 | 2000 | 0.1207          |
+| 0.0375        | 1.7201 | 2200 | 0.1202          |
+| 0.0512        | 1.8765 | 2400 | 0.1201          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- 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/Qwen2.5-32B-Instruct",
+  "bias": "none",
+  "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": 16,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "gate_proj",
+    "q_proj",
+    "o_proj",
+    "k_proj",
+    "up_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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all_results.json

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+    "epoch": 2.0,
+    "eval_loss": 0.11933707445859909,
+    "eval_runtime": 13.4177,
+    "eval_samples_per_second": 3.875,
+    "eval_steps_per_second": 0.969,
+    "total_flos": 2.7985345273774735e+18,
+    "train_loss": 0.11478913314727902,
+    "train_runtime": 9036.0615,
+    "train_samples_per_second": 1.132,
+    "train_steps_per_second": 0.283
+}

eval_results.json

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+    "epoch": 2.0,
+    "eval_loss": 0.11933707445859909,
+    "eval_runtime": 13.4177,
+    "eval_samples_per_second": 3.875,
+    "eval_steps_per_second": 0.969
+}

special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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train_results.json

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+}

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