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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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--- a/README.md
+++ b/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: 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
--- a/all_results.json
+++ b/all_results.json
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+{
+    "epoch": 0.9989528795811519,
+    "eval_KL/chosen_KL_mean": -268.62713623046875,
+    "eval_KL/mean": -320.5470886230469,
+    "eval_KL/rejected_KL_mean": -372.4670715332031,
+    "eval_KL/std": 159.96376037597656,
+    "eval_fcm_dpo/beta": 0.0025054924190044403,
+    "eval_logits/chosen": -0.8551161289215088,
+    "eval_logits/rejected": -0.8376473784446716,
+    "eval_logps/chosen": -556.4539184570312,
+    "eval_logps/ref_chosen": -287.8268127441406,
+    "eval_logps/ref_rejected": -266.9300231933594,
+    "eval_logps/rejected": -639.3970947265625,
+    "eval_loss": 0.6023811101913452,
+    "eval_margin_dpo/margin_mean": 103.83995056152344,
+    "eval_margin_dpo/margin_std": 181.04119873046875,
+    "eval_runtime": 77.9291,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 25.664,
+    "eval_steps_per_second": 3.208,
+    "total_flos": 0.0,
+    "train_loss": 4.871757778231703,
+    "train_runtime": 6533.4358,
+    "train_samples": 61135,
+    "train_samples_per_second": 9.357,
+    "train_steps_per_second": 0.073
+}
--- a/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
+}
--- a/eval_results.json
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+{
+    "epoch": 0.9989528795811519,
+    "eval_KL/chosen_KL_mean": -268.62713623046875,
+    "eval_KL/mean": -320.5470886230469,
+    "eval_KL/rejected_KL_mean": -372.4670715332031,
+    "eval_KL/std": 159.96376037597656,
+    "eval_fcm_dpo/beta": 0.0025054924190044403,
+    "eval_logits/chosen": -0.8551161289215088,
+    "eval_logits/rejected": -0.8376473784446716,
+    "eval_logps/chosen": -556.4539184570312,
+    "eval_logps/ref_chosen": -287.8268127441406,
+    "eval_logps/ref_rejected": -266.9300231933594,
+    "eval_logps/rejected": -639.3970947265625,
+    "eval_loss": 0.6023811101913452,
+    "eval_margin_dpo/margin_mean": 103.83995056152344,
+    "eval_margin_dpo/margin_std": 181.04119873046875,
+    "eval_runtime": 77.9291,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 25.664,
+    "eval_steps_per_second": 3.208
+}
--- a/generation_config.json
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+  "bos_token_id": 128000,
+  "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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