74414d18a2
Model: jackf857/qwen3-8b-base-new-dpo-hh-helpful-4xh200-batch-64-q_t-0.45-s_star-0.6 Source: Original Platform
83 lines
3.7 KiB
Markdown
83 lines
3.7 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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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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- new-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-new-dpo-hh-helpful-4xh200-batch-64-q_t-0.45-s_star-0.6
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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-new-dpo-hh-helpful-4xh200-batch-64-q_t-0.45-s_star-0.6
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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: 0.5224
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- Fcm Dpo/beta: 0.0073
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- Margin Dpo/margin Mean: 73.6023
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- Margin Dpo/margin Std: 100.2118
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- Logps/chosen: -265.1147
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- Logps/rejected: -332.2911
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- Logps/ref Chosen: -100.4936
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- Logps/ref Rejected: -94.0678
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- Logits/chosen: -1.8407
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- Logits/rejected: -1.4555
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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 | 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 |
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|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
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| 0.9831 | 0.1468 | 100 | 0.5851 | 0.1290 | 3.0273 | 6.0741 | -103.4172 | -100.0187 | -100.4936 | -94.0678 | 0.0310 | 0.2743 |
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| 0.9603 | 0.2937 | 200 | 0.5345 | 0.0330 | 15.0670 | 21.7615 | -123.5883 | -132.2295 | -100.4936 | -94.0678 | -1.4398 | -1.1262 |
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| 1.0079 | 0.4405 | 300 | 0.5175 | 0.0128 | 42.6819 | 56.6599 | -199.0951 | -235.3512 | -100.4936 | -94.0678 | -1.7159 | -1.3591 |
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| 0.9031 | 0.5874 | 400 | 0.5321 | 0.0072 | 66.1747 | 89.8270 | -255.0186 | -314.7675 | -100.4936 | -94.0678 | -1.9564 | -1.5863 |
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| 1.0372 | 0.7342 | 500 | 0.5229 | 0.0074 | 72.2195 | 99.1610 | -264.5698 | -330.3635 | -100.4936 | -94.0678 | -1.9734 | -1.5979 |
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| 0.9868 | 0.8811 | 600 | 0.5224 | 0.0073 | 73.6023 | 100.2118 | -265.1147 | -332.2911 | -100.4936 | -94.0678 | -1.8407 | -1.4555 |
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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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