Model save

README.md

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+---
+library_name: transformers
+license: other
+base_model: trl-lib/qwen1.5-0.5b-sft
+tags:
+- trl
+- simpo
+- generated_from_trainer
+model-index:
+- name: qwen_cfUNL_entropy_0_01
+  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. -->
+
+# qwen_cfUNL_entropy_0_01
+
+This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0501
+- Sft Loss: 3.9427
+- Rewards/chosen: -4.3435
+- Rewards/rejected: -5.1114
+- Rewards/accuracies: 0.6810
+- Rewards/margins: 0.7679
+- Logps/rejected: -5.1114
+- Logps/chosen: -4.3435
+- Logits/rejected: -0.0604
+- Logits/chosen: -0.1374
+
+## 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: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Sft Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.0548        | 0.2141 | 400  | 0.0564          | 4.2256   | -4.8288        | -5.0421          | 0.5378             | 0.2133          | -5.0421        | -4.8288      | 0.4440          | 0.3255        |
+| 0.0531        | 0.4282 | 800  | 0.0526          | 4.0511   | -4.5660        | -4.9392          | 0.6157             | 0.3732          | -4.9392        | -4.5660      | 0.2541          | 0.1294        |
+| 0.0534        | 0.6422 | 1200 | 0.0519          | 4.1663   | -4.5650        | -5.0390          | 0.6387             | 0.4740          | -5.0390        | -4.5650      | 0.2502          | 0.1373        |
+| 0.0511        | 0.8563 | 1600 | 0.0513          | 3.9593   | -4.4389        | -4.9222          | 0.6358             | 0.4833          | -4.9222        | -4.4389      | -0.0640         | -0.1524       |
+| 0.0533        | 1.0704 | 2000 | 0.0509          | 3.9533   | -4.4316        | -4.9577          | 0.6484             | 0.5261          | -4.9577        | -4.4316      | -0.0257         | -0.1111       |
+| 0.0527        | 1.2845 | 2400 | 0.0508          | 4.2818   | -4.7129        | -5.3738          | 0.6610             | 0.6609          | -5.3738        | -4.7129      | -0.0551         | -0.1386       |
+| 0.0513        | 1.4986 | 2800 | 0.0506          | 4.1502   | -4.4933        | -5.1357          | 0.6818             | 0.6424          | -5.1357        | -4.4933      | -0.1729         | -0.2577       |
+| 0.0527        | 1.7127 | 3200 | 0.0505          | 4.1082   | -4.4722        | -5.1175          | 0.6743             | 0.6453          | -5.1175        | -4.4722      | -0.0614         | -0.1521       |
+| 0.0538        | 1.9267 | 3600 | 0.0502          | 4.0026   | -4.3928        | -5.1056          | 0.6706             | 0.7129          | -5.1056        | -4.3928      | -0.1185         | -0.1939       |
+| 0.0495        | 2.1408 | 4000 | 0.0502          | 4.0304   | -4.4251        | -5.1723          | 0.6825             | 0.7472          | -5.1723        | -4.4251      | -0.0488         | -0.1284       |
+| 0.0522        | 2.3549 | 4400 | 0.0501          | 3.9711   | -4.3751        | -5.1111          | 0.6751             | 0.7360          | -5.1111        | -4.3751      | -0.1449         | -0.2170       |
+| 0.0517        | 2.5690 | 4800 | 0.0501          | 4.0093   | -4.3976        | -5.1429          | 0.6832             | 0.7452          | -5.1429        | -4.3976      | -0.0508         | -0.1310       |
+| 0.0496        | 2.7831 | 5200 | 0.0501          | 3.9605   | -4.3494        | -5.1084          | 0.6788             | 0.7590          | -5.1084        | -4.3494      | -0.0700         | -0.1475       |
+| 0.0497        | 2.9972 | 5600 | 0.0501          | 3.9427   | -4.3435        | -5.1114          | 0.6810             | 0.7679          | -5.1114        | -4.3435      | -0.0604         | -0.1374       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 2.999297541394882,
+    "total_flos": 0.0,
+    "train_loss": 0.0595120464655691,
+    "train_runtime": 31911.443,
+    "train_samples": 59790,
+    "train_samples_per_second": 5.621,
+    "train_steps_per_second": 0.176
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.44.2"
+}

train_results.json

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+{
+    "epoch": 2.999297541394882,
+    "total_flos": 0.0,
+    "train_loss": 0.0595120464655691,
+    "train_runtime": 31911.443,
+    "train_samples": 59790,
+    "train_samples_per_second": 5.621,
+    "train_steps_per_second": 0.176
+}