Model: jackf857/qwen3-8b-base-margin-dpo-hh-harmless-4xh200-batch-64-20260423-234249 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-harmless-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-harmless-4xh200-batch-64-20260423-234249
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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-harmless-4xh200-batch-64-20260423-234249
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This model is a fine-tuned version of [jackf857/qwen3-8b-base-sft-hh-harmless-4xh200-batch-64-20260417-214452](https://huggingface.co/jackf857/qwen3-8b-base-sft-hh-harmless-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: 0.5180
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- Margin Dpo/margin Mean: 7.8948
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- Margin Dpo/margin Std: 11.6820
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- Logps/chosen: -90.0938
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- Logps/rejected: -105.9037
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- Logps/ref Chosen: -87.3172
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- Logps/ref Rejected: -95.2323
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- Logits/chosen: 1.4433
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- Logits/rejected: 1.3188
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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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| 1.3236 | 0.1512 | 100 | 0.6540 | 0.9206 | 1.8427 | -86.6428 | -95.4785 | -87.3172 | -95.2323 | 1.6973 | 1.5878 |
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| 1.1498 | 0.3023 | 200 | 0.5566 | 5.3407 | 9.0153 | -88.1022 | -101.3580 | -87.3172 | -95.2323 | 1.4121 | 1.2978 |
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| 1.1522 | 0.4535 | 300 | 0.5328 | 7.2941 | 11.5055 | -91.8542 | -107.0635 | -87.3172 | -95.2323 | 1.4997 | 1.3738 |
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| 1.2091 | 0.6047 | 400 | 0.5248 | 7.2854 | 11.1368 | -89.2882 | -104.4887 | -87.3172 | -95.2323 | 1.4582 | 1.3356 |
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| 1.0214 | 0.7559 | 500 | 0.5192 | 8.0772 | 11.9903 | -90.4015 | -106.3938 | -87.3172 | -95.2323 | 1.7114 | 1.5744 |
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| 1.1318 | 0.9070 | 600 | 0.5180 | 7.8948 | 11.6820 | -90.0938 | -105.9037 | -87.3172 | -95.2323 | 1.4433 | 1.3188 |
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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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