ed60227d3e
Model: jackf857/qwen3-8b-base-margin-dpo-hh-helpful-4xh200-batch-64-20260423-233948 Source: Original Platform
81 lines
3.5 KiB
Markdown
81 lines
3.5 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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- margin-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-margin-dpo-hh-helpful-4xh200-batch-64-20260423-233948
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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-margin-dpo-hh-helpful-4xh200-batch-64-20260423-233948
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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: 0.4195
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- Margin Dpo/margin Mean: 15.8715
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- Margin Dpo/margin Std: 17.0771
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- Logps/chosen: -132.6461
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- Logps/rejected: -139.3175
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- Logps/ref Chosen: -101.8862
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- Logps/ref Rejected: -92.6861
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- Logits/chosen: -1.4538
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- Logits/rejected: -1.1606
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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 | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
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| 1.0426 | 0.1468 | 100 | 0.6031 | 2.7546 | 5.8844 | -105.6357 | -99.1902 | -101.8862 | -92.6861 | -0.0566 | 0.1974 |
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| 0.7622 | 0.2937 | 200 | 0.4644 | 10.5567 | 12.6651 | -113.3752 | -114.7319 | -101.8862 | -92.6861 | -1.1210 | -0.8454 |
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| 0.7508 | 0.4405 | 300 | 0.4348 | 13.3686 | 14.8396 | -121.8530 | -126.0214 | -101.8862 | -92.6861 | -1.2687 | -0.9791 |
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| 0.4743 | 0.5874 | 400 | 0.4292 | 15.3820 | 16.7624 | -128.4094 | -134.5913 | -101.8862 | -92.6861 | -1.2117 | -0.8992 |
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| 0.7107 | 0.7342 | 500 | 0.4213 | 15.8606 | 17.0950 | -131.5918 | -138.2523 | -101.8862 | -92.6861 | -1.3378 | -1.0359 |
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| 0.5423 | 0.8811 | 600 | 0.4195 | 15.8715 | 17.0771 | -132.6461 | -139.3175 | -101.8862 | -92.6861 | -1.4538 | -1.1606 |
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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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