d493a9b916
Model: jackf857/qwen3-8b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260424-013732 Source: Original Platform
80 lines
3.4 KiB
Markdown
80 lines
3.4 KiB
Markdown
---
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library_name: transformers
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base_model: jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452
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tags:
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- alignment-handbook
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- beta-dpo
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- generated_from_trainer
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datasets:
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- Anthropic/hh-rlhf
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model-index:
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- name: qwen3-8b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260424-013732
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# qwen3-8b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260424-013732
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This model is a fine-tuned version of [jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452](https://huggingface.co/jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452) on the Anthropic/hh-rlhf dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6505
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- Beta Dpo/gap Mean: 25.7183
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- Beta Dpo/gap Std: 26.1829
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- Beta Dpo/beta Used Raw: -0.2537
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- Beta Dpo/beta Used: 0.0212
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- Beta Dpo/mask Keep Frac: 1.0
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- Logits/chosen: -1.6123
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- Logits/rejected: -1.2796
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Beta Dpo/gap Mean | Beta Dpo/gap Std | Beta Dpo/beta Used Raw | Beta Dpo/beta Used | Beta Dpo/mask Keep Frac | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:|:----------------:|:----------------------:|:------------------:|:-----------------------:|:-------------:|:---------------:|
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| 1.1246 | 0.1468 | 100 | 0.6499 | 4.6173 | 6.2353 | -0.0000 | 0.0293 | 1.0 | -0.1879 | 0.0487 |
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| 0.313 | 0.2937 | 200 | 0.6346 | 12.9809 | 14.5981 | -0.0999 | 0.0229 | 1.0 | -1.1708 | -0.8922 |
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| 0.6858 | 0.4405 | 300 | 0.6556 | 19.2389 | 20.8328 | -0.2038 | 0.0146 | 1.0 | -1.4133 | -1.1126 |
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| 0.7246 | 0.5874 | 400 | 0.6605 | 25.6196 | 25.0584 | -0.3654 | 0.0094 | 1.0 | -1.5698 | -1.2495 |
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| 0.9705 | 0.7342 | 500 | 0.6340 | 24.0392 | 26.5263 | -0.1783 | 0.0322 | 1.0 | -1.7312 | -1.4078 |
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| 0.8177 | 0.8811 | 600 | 0.6505 | 25.7183 | 26.1829 | -0.2537 | 0.0212 | 1.0 | -1.6123 | -1.2796 |
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### Framework versions
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- Transformers 4.51.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.21.4
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