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Model: W-61/qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.4-s_star-0.35-20260430-140517 Source: Original Platform
2026-05-29 01:10:42 +08:00
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+---
+library_name: transformers
+base_model: jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128
+tags:
+- alignment-handbook
+- new-dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.4-s_star-0.35-20260430-140517
+  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. -->
+
+# qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.4-s_star-0.35-20260430-140517
+
+This model is a fine-tuned version of [jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128](https://huggingface.co/jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6076
+- Fcm Dpo/beta: 0.0040
+- Margin Dpo/margin Mean: 54.4214
+- Margin Dpo/margin Std: 86.7093
+- Logps/chosen: -331.5330
+- Logps/rejected: -370.1833
+- Logps/ref Chosen: -280.4167
+- Logps/ref Rejected: -264.6455
+- Kl/chosen Kl Mean: -51.1163
+- Kl/rejected Kl Mean: -105.5378
+- Kl/mean: -78.3270
+- Kl/std: 74.4785
+- Logits/chosen: 1.4424
+- Logits/rejected: 1.5060
+
+## 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: 5e-07
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.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: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Fcm Dpo/beta | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Kl/chosen Kl Mean | Kl/rejected Kl Mean | Kl/mean  | Kl/std  | Logits/chosen | Logits/rejected |
+|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-----------------:|:-------------------:|:--------:|:-------:|:-------------:|:---------------:|
+| 4.9448        | 0.4188 | 200  | 0.6027          | 0.0090       | 26.4387                | 42.3830               | -286.1130    | -296.7805      | -280.4167        | -264.6455          | -5.6962           | -32.1350            | -18.9156 | 36.5734 | 1.6826        | 1.7371          |
+| 4.7852        | 0.8377 | 400  | 0.6076          | 0.0040       | 54.4214                | 86.7093               | -331.5330    | -370.1833      | -280.4167        | -264.6455          | -51.1163          | -105.5378           | -78.3270 | 74.4785 | 1.4424        | 1.5060          |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4