Model save

README.md

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+---
+license: apache-2.0
+base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
+tags:
+- trl
+- expo
+- generated_from_trainer
+model-index:
+- name: qwen2.5-0.5b-expo-L2EXPO-W0-noES2-0.1
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/t7vhabyt)
+# qwen2.5-0.5b-expo-L2EXPO-W0-noES2-0.1
+
+This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 187.9473
+- Logps: -88.4162
+- Logits: -1.2945
+- Objective: 183.8510
+- Dpo Loss: 0.6799
+- Regularize: 0.4168
+- Ranking Simple: 0.5326
+- Ranking Idealized: 0.6025
+- Ranking Idealized Expo: 0.5233
+- Wo Beta: 15.9953
+
+## 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: 1e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 12
+- total_train_batch_size: 144
+- total_eval_batch_size: 12
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Logps    | Logits  | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo | Wo Beta |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|:-------:|
+| 181.5404      | 0.1417 | 50   | 182.3598        | -90.9189 | -1.4233 | 180.3279  | 0.6890   | 0.4088     | 0.5264         | 0.6025            | 0.5233                 | 16.2974 |
+| 156.9096      | 0.2834 | 100  | 181.8641        | -91.4510 | -1.4702 | 180.3150  | 0.6855   | 0.4101     | 0.5316         | 0.6025            | 0.5233                 | 16.3731 |
+| 145.838       | 0.4251 | 150  | 180.6479        | -90.7049 | -1.4504 | 178.1705  | 0.6790   | 0.4023     | 0.5383         | 0.6025            | 0.5233                 | 16.5880 |
+| 140.9398      | 0.5668 | 200  | 184.4987        | -90.3330 | -1.3895 | 181.5451  | 0.6803   | 0.4101     | 0.5326         | 0.6025            | 0.5233                 | 16.1415 |
+| 131.1439      | 0.7085 | 250  | 182.2077        | -91.2246 | -1.4789 | 178.4409  | 0.6797   | 0.4059     | 0.5326         | 0.6025            | 0.5233                 | 16.3683 |
+| 118.3192      | 0.8503 | 300  | 183.4459        | -92.5771 | -1.4552 | 180.4714  | 0.6817   | 0.4123     | 0.5326         | 0.6025            | 0.5233                 | 16.4041 |
+| 108.5029      | 0.9920 | 350  | 183.9593        | -92.1804 | -1.4317 | 180.1151  | 0.6782   | 0.4095     | 0.5321         | 0.6025            | 0.5233                 | 16.3367 |
+| 104.6813      | 1.1337 | 400  | 183.8759        | -89.7261 | -1.3930 | 180.2840  | 0.6801   | 0.4094     | 0.5311         | 0.6025            | 0.5233                 | 16.2209 |
+| 90.5585       | 1.2754 | 450  | 184.0673        | -91.2037 | -1.3663 | 180.6296  | 0.6795   | 0.4105     | 0.5357         | 0.6025            | 0.5233                 | 16.2889 |
+| 91.2372       | 1.4171 | 500  | 185.7194        | -89.4298 | -1.3281 | 180.8790  | 0.6782   | 0.4110     | 0.5347         | 0.6025            | 0.5233                 | 16.0443 |
+| 85.7307       | 1.5588 | 550  | 186.2241        | -91.6866 | -1.3683 | 182.1382  | 0.6799   | 0.4147     | 0.5336         | 0.6025            | 0.5233                 | 16.1863 |
+| 79.9458       | 1.7005 | 600  | 186.2137        | -91.0847 | -1.3519 | 181.8686  | 0.6794   | 0.4135     | 0.5373         | 0.6025            | 0.5233                 | 16.1060 |
+| 86.7578       | 1.8422 | 650  | 186.7196        | -89.4070 | -1.3403 | 182.4970  | 0.6797   | 0.4141     | 0.5316         | 0.6025            | 0.5233                 | 16.0270 |
+| 76.2665       | 1.9839 | 700  | 186.2802        | -89.5857 | -1.3223 | 182.3933  | 0.6800   | 0.4136     | 0.5311         | 0.6025            | 0.5233                 | 16.1117 |
+| 65.1575       | 2.1256 | 750  | 188.1571        | -90.2454 | -1.3253 | 184.2076  | 0.6806   | 0.4179     | 0.5321         | 0.6025            | 0.5233                 | 15.9179 |
+| 66.0375       | 2.2674 | 800  | 186.7221        | -88.5874 | -1.3137 | 181.9355  | 0.6781   | 0.4137     | 0.5336         | 0.6025            | 0.5233                 | 15.9879 |
+| 55.6773       | 2.4091 | 850  | 189.5397        | -88.2689 | -1.3112 | 185.2096  | 0.6809   | 0.4203     | 0.5300         | 0.6025            | 0.5233                 | 15.9311 |
+| 54.3682       | 2.5508 | 900  | 188.2381        | -88.3611 | -1.3259 | 184.1678  | 0.6793   | 0.4167     | 0.5311         | 0.6025            | 0.5233                 | 15.9680 |
+| 50.3775       | 2.6925 | 950  | 189.5419        | -88.8005 | -1.3091 | 185.0044  | 0.6802   | 0.4183     | 0.5331         | 0.6025            | 0.5233                 | 15.9986 |
+| 45.9449       | 2.8342 | 1000 | 187.7079        | -87.8148 | -1.2990 | 183.5676  | 0.6792   | 0.4161     | 0.5300         | 0.6025            | 0.5233                 | 15.9960 |
+| 49.0003       | 2.9759 | 1050 | 188.0040        | -88.3004 | -1.2778 | 184.0016  | 0.6792   | 0.4173     | 0.5342         | 0.6025            | 0.5233                 | 16.0403 |
+| 40.2428       | 3.1176 | 1100 | 188.7166        | -88.6470 | -1.2988 | 184.3815  | 0.6801   | 0.4181     | 0.5326         | 0.6025            | 0.5233                 | 15.9981 |
+| 37.177        | 3.2593 | 1150 | 188.2563        | -87.9239 | -1.2843 | 184.3351  | 0.6804   | 0.4183     | 0.5357         | 0.6025            | 0.5233                 | 16.0123 |
+| 34.9809       | 3.4010 | 1200 | 189.1705        | -88.1129 | -1.2900 | 184.8718  | 0.6806   | 0.4193     | 0.5326         | 0.6025            | 0.5233                 | 15.9531 |
+| 34.073        | 3.5427 | 1250 | 188.2203        | -88.5617 | -1.2892 | 184.1966  | 0.6802   | 0.4177     | 0.5336         | 0.6025            | 0.5233                 | 16.0022 |
+| 28.4565       | 3.6845 | 1300 | 188.3189        | -88.0836 | -1.2942 | 184.1293  | 0.6803   | 0.4178     | 0.5331         | 0.6025            | 0.5233                 | 16.0081 |
+| 27.4636       | 3.8262 | 1350 | 188.3022        | -88.4586 | -1.2973 | 184.2191  | 0.6803   | 0.4178     | 0.5321         | 0.6025            | 0.5233                 | 15.9996 |
+| 27.3902       | 3.9679 | 1400 | 187.9691        | -88.3135 | -1.2974 | 183.7816  | 0.6798   | 0.4168     | 0.5321         | 0.6025            | 0.5233                 | 15.9788 |
+| 21.2906       | 4.1096 | 1450 | 187.8985        | -88.1212 | -1.2976 | 183.6546  | 0.6796   | 0.4164     | 0.5321         | 0.6025            | 0.5233                 | 15.9853 |
+| 19.8787       | 4.2513 | 1500 | 188.0825        | -88.3078 | -1.2942 | 183.8684  | 0.6799   | 0.4169     | 0.5321         | 0.6025            | 0.5233                 | 15.9839 |
+| 18.4741       | 4.3930 | 1550 | 188.0407        | -88.4855 | -1.2951 | 184.0446  | 0.6802   | 0.4173     | 0.5326         | 0.6025            | 0.5233                 | 15.9950 |
+| 20.4794       | 4.5347 | 1600 | 187.9061        | -88.4381 | -1.2950 | 183.8276  | 0.6799   | 0.4168     | 0.5331         | 0.6025            | 0.5233                 | 16.0004 |
+| 17.2115       | 4.6764 | 1650 | 187.9504        | -88.4174 | -1.2938 | 183.8566  | 0.6798   | 0.4168     | 0.5326         | 0.6025            | 0.5233                 | 15.9942 |
+| 16.5799       | 4.8181 | 1700 | 187.9360        | -88.4220 | -1.2946 | 183.8405  | 0.6799   | 0.4168     | 0.5326         | 0.6025            | 0.5233                 | 15.9963 |
+| 16.689        | 4.9598 | 1750 | 187.9473        | -88.4162 | -1.2945 | 183.8510  | 0.6799   | 0.4168     | 0.5326         | 0.6025            | 0.5233                 | 15.9953 |
+
+
+### Framework versions
+
+- Transformers 4.42.0
+- Pytorch 2.3.0+cu121
+- Datasets 3.2.0
+- Tokenizers 0.19.1

added_tokens.json

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all_results.json

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+    "total_flos": 0.0,
+    "train_loss": 67.88850653388283,
+    "train_runtime": 74214.1269,
+    "train_samples": 50802,
+    "train_samples_per_second": 3.423,
+    "train_steps_per_second": 0.024
+}

config.json

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+  "model_type": "qwen2",
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generation_config.json

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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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+}

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