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Model: W-61/qwen3-8b-base-sft-hh-helpful-8xh200
Source: Original Platform

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-8B-Base
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- Anthropic/hh-rlhf
+model-index:
+- name: qwen3-8b-base-sft-hh-helpful-8xh200-20260414-192602-232981
+  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. -->
+
+# qwen3-8b-base-sft-hh-helpful-8xh200-20260414-192602-232981
+
+This model is a fine-tuned version of [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base) on the Anthropic/hh-rlhf dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4771
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.482         | 0.7407 | 100  | 1.4771          |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4

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all_results.json

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+    "epoch": 1.0,
+    "eval_loss": 1.4622458219528198,
+    "eval_runtime": 2.6991,
+    "eval_samples": 2339,
+    "eval_samples_per_second": 344.926,
+    "eval_steps_per_second": 2.964,
+    "total_flos": 5.022030486516531e+16,
+    "train_loss": 1.7195094338169805,
+    "train_runtime": 501.5523,
+    "train_samples": 43598,
+    "train_samples_per_second": 34.284,
+    "train_steps_per_second": 0.269
+}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
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+  "head_dim": 128,
+  "hidden_act": "silu",
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+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
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+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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+    "eval_samples": 2339,
+    "eval_samples_per_second": 344.926,
+    "eval_steps_per_second": 2.964
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
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+    "rstrip": false,
+    "single_word": false
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+    "content": "<|endoftext|>",
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

tokenizer_config.json

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+  "add_prefix_space": false,
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+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
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+}

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+}