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

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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

all_results.json

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+{
+    "epoch": 0.9989528795811519,
+    "eval_fcm_dpo/beta": 0.009593765251338482,
+    "eval_logits/chosen": -0.8410288691520691,
+    "eval_logits/rejected": -0.8335962891578674,
+    "eval_logps/chosen": -391.4317626953125,
+    "eval_logps/ref_chosen": -287.8267517089844,
+    "eval_logps/ref_rejected": -266.9313659667969,
+    "eval_logps/rejected": -426.3018493652344,
+    "eval_loss": 0.5413669347763062,
+    "eval_margin_dpo/margin_mean": 55.76554870605469,
+    "eval_margin_dpo/margin_std": 85.69520568847656,
+    "eval_runtime": 81.3525,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 24.584,
+    "eval_steps_per_second": 1.537,
+    "total_flos": 0.0,
+    "train_loss": 4.542374380479568,
+    "train_runtime": 6039.2377,
+    "train_samples": 61135,
+    "train_samples_per_second": 10.123,
+    "train_steps_per_second": 0.079
+}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

eval_results.json

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+    "eval_fcm_dpo/beta": 0.009593765251338482,
+    "eval_logits/chosen": -0.8410288691520691,
+    "eval_logits/rejected": -0.8335962891578674,
+    "eval_logps/chosen": -391.4317626953125,
+    "eval_logps/ref_chosen": -287.8267517089844,
+    "eval_logps/ref_rejected": -266.9313659667969,
+    "eval_logps/rejected": -426.3018493652344,
+    "eval_loss": 0.5413669347763062,
+    "eval_margin_dpo/margin_mean": 55.76554870605469,
+    "eval_margin_dpo/margin_std": 85.69520568847656,
+    "eval_runtime": 81.3525,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 24.584,
+    "eval_steps_per_second": 1.537
+}

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+  "do_sample": true,
+  "eos_token_id": 128001,
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.51.0"
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