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Model: jackf857/llama-3-8b-base-new-dpo-harmless-s_star0.4-q_t0.4 Source: Original Platform
2026-05-14 11:41:38 +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-hh-harmless-4xh200
+tags:
+- alignment-handbook
+- new-dpo
+- generated_from_trainer
+datasets:
+- Anthropic/hh-rlhf
+model-index:
+- name: llama3-8b-base-new-method-s_star0.4
+  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_star0.4
+
+This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-harmless-4xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-harmless-4xh200) on the Anthropic/hh-rlhf dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6075
+- Fcm Dpo/beta: 0.0032
+- Margin Dpo/margin Mean: 80.9270
+- Margin Dpo/margin Std: 168.3527
+- Logps/chosen: -278.6199
+- Logps/rejected: -364.2365
+- Logps/ref Chosen: -74.8595
+- Logps/ref Rejected: -79.5490
+- Logits/chosen: 0.8914
+- Logits/rejected: 0.8742
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
+| 1.0917        | 0.3023 | 200  | 0.5616          | 0.0221       | 20.9587                | 36.0271               | -112.0402    | -137.6885      | -74.8595         | -79.5490           | 0.5290        | 0.4788          |
+| 1.134         | 0.6047 | 400  | 0.5988          | 0.0047       | 61.8184                | 122.3443              | -231.1051    | -297.6130      | -74.8595         | -79.5490           | 0.7731        | 0.7383          |
+| 1.242         | 0.9070 | 600  | 0.6075          | 0.0032       | 80.9270                | 168.3527              | -278.6199    | -364.2365      | -74.8595         | -79.5490           | 0.8914        | 0.8742          |
+
+
+### 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
@@ -0,0 +1,23 @@
+{
+    "epoch": 0.999244142101285,
+    "eval_fcm_dpo/beta": 0.003048304468393326,
+    "eval_logits/chosen": 0.9178658127784729,
+    "eval_logits/rejected": 0.8999158143997192,
+    "eval_logps/chosen": -279.8544006347656,
+    "eval_logps/ref_chosen": -74.85946655273438,
+    "eval_logps/ref_rejected": -79.54898834228516,
+    "eval_logps/rejected": -365.8829650878906,
+    "eval_loss": 0.6095079779624939,
+    "eval_margin_dpo/margin_mean": 81.33904266357422,
+    "eval_margin_dpo/margin_std": 169.26637268066406,
+    "eval_runtime": 38.7977,
+    "eval_samples": 2303,
+    "eval_samples_per_second": 59.359,
+    "eval_steps_per_second": 1.856,
+    "total_flos": 0.0,
+    "train_loss": 1.1812975648311552,
+    "train_runtime": 1809.2515,
+    "train_samples": 42336,
+    "train_samples_per_second": 23.4,
+    "train_steps_per_second": 0.365
+}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,29 @@
+{
+  "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
+++ b/eval_results.json
@@ -0,0 +1,17 @@
+{
+    "epoch": 0.999244142101285,
+    "eval_fcm_dpo/beta": 0.003048304468393326,
+    "eval_logits/chosen": 0.9178658127784729,
+    "eval_logits/rejected": 0.8999158143997192,
+    "eval_logps/chosen": -279.8544006347656,
+    "eval_logps/ref_chosen": -74.85946655273438,
+    "eval_logps/ref_rejected": -79.54898834228516,
+    "eval_logps/rejected": -365.8829650878906,
+    "eval_loss": 0.6095079779624939,
+    "eval_margin_dpo/margin_mean": 81.33904266357422,
+    "eval_margin_dpo/margin_std": 169.26637268066406,
+    "eval_runtime": 38.7977,
+    "eval_samples": 2303,
+    "eval_samples_per_second": 59.359,
+    "eval_steps_per_second": 1.856
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,9 @@
+{
+  "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"
+}
--- a/margin_logs/margins.jsonl
+++ b/margin_logs/margins.jsonl
@@ -0,0 +1,661 @@
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--- a/tokenizer.json
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--- a/tokenizer_config.json
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--- a/train_results.json
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--- a/trainer_state.json
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