a1e826d8db
Model: jackf857/qwen-3-8b-base-r-dpo-ultrafeedback-4xH200-batch-128-rerun-2-runpod Source: Original Platform
79 lines
2.9 KiB
Markdown
79 lines
2.9 KiB
Markdown
---
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library_name: transformers
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base_model: jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128
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tags:
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- alignment-handbook
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- r-dpo
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: qwen3-8b-base-r-dpo-ultrafeedback-4xh200-batch-128
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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-r-dpo-ultrafeedback-4xh200-batch-128
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This model is a fine-tuned version of [jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128](https://huggingface.co/jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5469
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- R Dpo/chosen Len: 294.4800
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- R Dpo/rejected Len: 249.8700
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- R Dpo/length Delta: 44.6100
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- R Dpo/regularization Term: 4.4610
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- Logps/chosen: -2936.7747
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- Logps/rejected: -2579.1685
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- Logps/ref Chosen: -281.4850
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- Logps/ref Rejected: -261.8005
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- Logits/chosen: 0.6320
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- Logits/rejected: 0.5334
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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: 4
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- eval_batch_size: 4
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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: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 16
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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 | R Dpo/chosen Len | R Dpo/rejected Len | R Dpo/length Delta | R Dpo/regularization Term | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:----------------:|:------------------:|:------------------:|:-------------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
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| 6.6608 | 0.4188 | 200 | 0.7288 | 294.4800 | 249.8700 | 44.6100 | 4.4610 | -2819.1780 | -2438.3210 | -281.4850 | -261.8005 | 0.6077 | 0.5856 |
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| 4.5388 | 0.8377 | 400 | 0.5469 | 294.4800 | 249.8700 | 44.6100 | 4.4610 | -2936.7747 | -2579.1685 | -281.4850 | -261.8005 | 0.6320 | 0.5334 |
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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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