W-61/qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.4-s_star-0.35-20260430-140517
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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
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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

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"eval_KL/std": 75.29983520507812,
"eval_fcm_dpo/beta": 0.003546761581674218,
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"eval_logits/rejected": 1.5009914636611938,
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"eval_loss": 0.6136210560798645,
"eval_margin_dpo/margin_mean": 55.49495315551758,
"eval_margin_dpo/margin_std": 87.28593444824219,
"eval_runtime": 88.1538,
"eval_samples": 2000,
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"eval_steps_per_second": 2.836,
"total_flos": 0.0,
"train_loss": 4.986182768639779,
"train_runtime": 7647.9571,
"train_samples": 61135,
"train_samples_per_second": 7.994,
"train_steps_per_second": 0.062
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