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Model: W-61/llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.35-20260428-045924 Source: Original Platform
2026-05-26 11:58:21 +08:00
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+---
+library_name: transformers
+base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
+tags:
+- alignment-handbook
+- new-dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.35-20260428-045924
+  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. -->
+
+# llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.35-20260428-045924
+
+This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5985
+- Fcm Dpo/beta: 0.0028
+- Margin Dpo/margin Mean: 99.3391
+- Margin Dpo/margin Std: 172.5638
+- Logps/chosen: -539.1735
+- Logps/rejected: -617.6157
+- Logps/ref Chosen: -287.8268
+- Logps/ref Rejected: -266.9300
+- Kl/chosen Kl Mean: -251.3467
+- Kl/rejected Kl Mean: -350.6858
+- Kl/mean: -301.0162
+- Kl/std: 151.9403
+- Logits/chosen: -0.8488
+- Logits/rejected: -0.8314
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-----------------:|:-------------------:|:---------:|:--------:|:-------------:|:---------------:|
+| 4.959         | 0.4188 | 200  | 0.5908          | 0.0053       | 56.5030                | 93.3615               | -400.3537    | -435.9599      | -287.8268        | -266.9300          | -112.5269         | -169.0299           | -140.7784 | 83.7769  | -0.8930       | -0.8754         |
+| 4.8212        | 0.8377 | 400  | 0.5985          | 0.0028       | 99.3391                | 172.5638              | -539.1735    | -617.6157      | -287.8268        | -266.9300          | -251.3467         | -350.6858           | -301.0162 | 151.9403 | -0.8488       | -0.8314         |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4