Model save

README.md

@@ -0,0 +1,58 @@
+---
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+library_name: transformers
+model_name: Qwen2.5-1.5B-Open-R1-Distill
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for Qwen2.5-1.5B-Open-R1-Distill
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="XiaoJie88/Qwen2.5-1.5B-Open-R1-Distill", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/gaoxiaojie632-orient-profit-grand-beijing-technology-co-ltd-/huggingface/runs/z3enff6i) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.16.0.dev0
+- Transformers: 4.49.0
+- Pytorch: 2.5.1
+- Datasets: 3.3.2
+- Tokenizers: 0.21.0
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

all_results.json

@@ -0,0 +1,8 @@
+{
+    "total_flos": 77096571633664.0,
+    "train_loss": 0.7200509982950547,
+    "train_runtime": 16045.7979,
+    "train_samples": 16710,
+    "train_samples_per_second": 0.34,
+    "train_steps_per_second": 0.011
+}

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.49.0"
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "total_flos": 77096571633664.0,
+    "train_loss": 0.7200509982950547,
+    "train_runtime": 16045.7979,
+    "train_samples": 16710,
+    "train_samples_per_second": 0.34,
+    "train_steps_per_second": 0.011
+}

trainer_state.json

@@ -0,0 +1,280 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.9959721713658001,
+  "eval_steps": 500,
+  "global_step": 170,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.02929329915781765,
+      "grad_norm": 1.6078954935073853,
+      "learning_rate": 2.777777777777778e-05,
+      "loss": 0.9551,
+      "step": 5
+    },
+    {
+      "epoch": 0.0585865983156353,
+      "grad_norm": 1.1429349184036255,
+      "learning_rate": 4.9995716618706634e-05,
+      "loss": 0.9029,
+      "step": 10
+    },
+    {
+      "epoch": 0.08787989747345294,
+      "grad_norm": 0.7431623935699463,
+      "learning_rate": 4.9845969445888354e-05,
+      "loss": 0.7873,
+      "step": 15
+    },
+    {
+      "epoch": 0.1171731966312706,
+      "grad_norm": 0.5352614521980286,
+      "learning_rate": 4.948368129547296e-05,
+      "loss": 0.7782,
+      "step": 20
+    },
+    {
+      "epoch": 0.14646649578908824,
+      "grad_norm": 0.599611759185791,
+      "learning_rate": 4.891229802725401e-05,
+      "loss": 0.7671,
+      "step": 25
+    },
+    {
+      "epoch": 0.17575979494690588,
+      "grad_norm": 0.5661498308181763,
+      "learning_rate": 4.8137254283872696e-05,
+      "loss": 0.7371,
+      "step": 30
+    },
+    {
+      "epoch": 0.20505309410472355,
+      "grad_norm": 0.4830688238143921,
+      "learning_rate": 4.7165921799873716e-05,
+      "loss": 0.7424,
+      "step": 35
+    },
+    {
+      "epoch": 0.2343463932625412,
+      "grad_norm": 0.4806412160396576,
+      "learning_rate": 4.6007539286346375e-05,
+      "loss": 0.7218,
+      "step": 40
+    },
+    {
+      "epoch": 0.26363969242035884,
+      "grad_norm": 0.43145492672920227,
+      "learning_rate": 4.467312455804482e-05,
+      "loss": 0.729,
+      "step": 45
+    },
+    {
+      "epoch": 0.2929329915781765,
+      "grad_norm": 0.4414162337779999,
+      "learning_rate": 4.317536973877955e-05,
+      "loss": 0.7322,
+      "step": 50
+    },
+    {
+      "epoch": 0.3222262907359941,
+      "grad_norm": 0.6285475492477417,
+      "learning_rate": 4.1528520541821506e-05,
+      "loss": 0.7152,
+      "step": 55
+    },
+    {
+      "epoch": 0.35151958989381177,
+      "grad_norm": 0.5875662565231323,
+      "learning_rate": 3.974824077352845e-05,
+      "loss": 0.744,
+      "step": 60
+    },
+    {
+      "epoch": 0.38081288905162947,
+      "grad_norm": 0.5579010844230652,
+      "learning_rate": 3.785146334895093e-05,
+      "loss": 0.715,
+      "step": 65
+    },
+    {
+      "epoch": 0.4101061882094471,
+      "grad_norm": 0.5400099754333496,
+      "learning_rate": 3.58562292364649e-05,
+      "loss": 0.7322,
+      "step": 70
+    },
+    {
+      "epoch": 0.43939948736726475,
+      "grad_norm": 0.43588295578956604,
+      "learning_rate": 3.378151586328963e-05,
+      "loss": 0.7098,
+      "step": 75
+    },
+    {
+      "epoch": 0.4686927865250824,
+      "grad_norm": 0.42549237608909607,
+      "learning_rate": 3.164705661399079e-05,
+      "loss": 0.7227,
+      "step": 80
+    },
+    {
+      "epoch": 0.49798608568290004,
+      "grad_norm": 0.4135156273841858,
+      "learning_rate": 2.947315313878701e-05,
+      "loss": 0.6879,
+      "step": 85
+    },
+    {
+      "epoch": 0.5272793848407177,
+      "grad_norm": 0.4909493029117584,
+      "learning_rate": 2.7280482256866697e-05,
+      "loss": 0.6863,
+      "step": 90
+    },
+    {
+      "epoch": 0.5565726839985353,
+      "grad_norm": 0.44555437564849854,
+      "learning_rate": 2.508989929133051e-05,
+      "loss": 0.6977,
+      "step": 95
+    },
+    {
+      "epoch": 0.585865983156353,
+      "grad_norm": 0.4100770056247711,
+      "learning_rate": 2.2922239706315745e-05,
+      "loss": 0.7202,
+      "step": 100
+    },
+    {
+      "epoch": 0.6151592823141706,
+      "grad_norm": 0.44192320108413696,
+      "learning_rate": 2.079812093300668e-05,
+      "loss": 0.6974,
+      "step": 105
+    },
+    {
+      "epoch": 0.6444525814719883,
+      "grad_norm": 0.4109411835670471,
+      "learning_rate": 1.8737746269439006e-05,
+      "loss": 0.6709,
+      "step": 110
+    },
+    {
+      "epoch": 0.6737458806298059,
+      "grad_norm": 0.3698427975177765,
+      "learning_rate": 1.6760712719281375e-05,
+      "loss": 0.6868,
+      "step": 115
+    },
+    {
+      "epoch": 0.7030391797876235,
+      "grad_norm": 0.3567708730697632,
+      "learning_rate": 1.4885824597312362e-05,
+      "loss": 0.6767,
+      "step": 120
+    },
+    {
+      "epoch": 0.7323324789454412,
+      "grad_norm": 0.37050729990005493,
+      "learning_rate": 1.313091467446158e-05,
+      "loss": 0.6788,
+      "step": 125
+    },
+    {
+      "epoch": 0.7616257781032589,
+      "grad_norm": 0.35710033774375916,
+      "learning_rate": 1.1512674563572253e-05,
+      "loss": 0.6797,
+      "step": 130
+    },
+    {
+      "epoch": 0.7909190772610766,
+      "grad_norm": 0.328642874956131,
+      "learning_rate": 1.0046495959150554e-05,
+      "loss": 0.6554,
+      "step": 135
+    },
+    {
+      "epoch": 0.8202123764188942,
+      "grad_norm": 0.3246113359928131,
+      "learning_rate": 8.746324241130455e-06,
+      "loss": 0.6895,
+      "step": 140
+    },
+    {
+      "epoch": 0.8495056755767119,
+      "grad_norm": 0.3387470543384552,
+      "learning_rate": 7.624525835084185e-06,
+      "loss": 0.6864,
+      "step": 145
+    },
+    {
+      "epoch": 0.8787989747345295,
+      "grad_norm": 0.34192147850990295,
+      "learning_rate": 6.691770590465606e-06,
+      "loss": 0.6718,
+      "step": 150
+    },
+    {
+      "epoch": 0.9080922738923471,
+      "grad_norm": 0.3072430491447449,
+      "learning_rate": 5.95693029563144e-06,
+      "loss": 0.673,
+      "step": 155
+    },
+    {
+      "epoch": 0.9373855730501648,
+      "grad_norm": 0.32493317127227783,
+      "learning_rate": 5.426994294902611e-06,
+      "loss": 0.6767,
+      "step": 160
+    },
+    {
+      "epoch": 0.9666788722079824,
+      "grad_norm": 0.32937249541282654,
+      "learning_rate": 5.10700301026355e-06,
+      "loss": 0.6815,
+      "step": 165
+    },
+    {
+      "epoch": 0.9959721713658001,
+      "grad_norm": 0.3123301863670349,
+      "learning_rate": 5e-06,
+      "loss": 0.6732,
+      "step": 170
+    },
+    {
+      "epoch": 0.9959721713658001,
+      "step": 170,
+      "total_flos": 77096571633664.0,
+      "train_loss": 0.7200509982950547,
+      "train_runtime": 16045.7979,
+      "train_samples_per_second": 0.34,
+      "train_steps_per_second": 0.011
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 170,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 77096571633664.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}