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Model: W-61/llama3-8b-base-new-method-s_star0.6-20260425-180936
Source: Original Platform

README.md

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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: llama3-8b-base-new-method-s_star0.6-20260425-180936
+  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. -->
+
+# llama3-8b-base-new-method-s_star0.6-20260425-180936
+
+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: 0.5352
+- Fcm Dpo/beta: 0.0110
+- Margin Dpo/margin Mean: 54.2375
+- Margin Dpo/margin Std: 83.0790
+- Logps/chosen: -383.9891
+- Logps/rejected: -417.3312
+- Logps/ref Chosen: -287.8268
+- Logps/ref Rejected: -266.9314
+- Logits/chosen: -0.8407
+- Logits/rejected: -0.8346
+
+## 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: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- 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 | Logits/chosen | Logits/rejected |
+|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
+| 4.6087        | 0.4188 | 200  | 0.5497          | 0.0189       | 29.5673                | 48.3802               | -320.8928    | -329.5647      | -287.8268        | -266.9314          | -0.8679       | -0.8610         |
+| 4.3167        | 0.8377 | 400  | 0.5352          | 0.0110       | 54.2375                | 83.0790               | -383.9891    | -417.3312      | -287.8268        | -266.9314          | -0.8407       | -0.8346         |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4