163929230f
Model: jackf857/qwen3-8b-base-epsilon-dpo-ultrafeedback-4xh200-batch-128 Source: Original Platform
87 lines
4.0 KiB
Markdown
87 lines
4.0 KiB
Markdown
---
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library_name: transformers
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base_model: qwen3-8b-base-sft-ultrachat-4xh200-batch-128-20260420-124036
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tags:
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- alignment-handbook
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- epsilon-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-epsilon-dpo-ultrafeedback-4xh200-batch-128-20260420-124036
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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-epsilon-dpo-ultrafeedback-4xh200-batch-128-20260420-124036
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This model is a fine-tuned version of [qwen3-8b-base-sft-ultrachat-4xh200-batch-128-20260420-124036](https://huggingface.co/qwen3-8b-base-sft-ultrachat-4xh200-batch-128-20260420-124036) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6403
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- Epsilon Dpo/beta: 0.0021
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- Epsilon Dpo/loss Margin Mean: 59.0314
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- Epsilon Dpo/beta Margin Mean: 0.1219
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- Epsilon Dpo/beta Margin Std: 0.2152
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- Epsilon Dpo/beta Margin Grad Mean: -0.4699
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- Epsilon Dpo/beta Margin Grad Std: 0.0531
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- Rewards/chosen: -0.1383
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- Rewards/rejected: -0.2601
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- Rewards/accuracies: 0.7165
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- Rewards/margins: 0.1219
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- Logps/chosen: -346.2501
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- Logps/rejected: -389.5577
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- Logps/ref Chosen: -280.4283
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- Logps/ref Rejected: -264.7045
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- Logits/chosen: 1.5736
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- Logits/rejected: 1.9569
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- Kl/p Epsilon Steps: 0.7085
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- Kl/n Epsilon Steps: 0.2855
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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 | Epsilon Dpo/beta | Epsilon Dpo/loss Margin Mean | Epsilon Dpo/beta Margin Mean | Epsilon Dpo/beta Margin Std | Epsilon Dpo/beta Margin Grad Mean | Epsilon Dpo/beta Margin Grad Std | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected | Kl/p Epsilon Steps | Kl/n Epsilon Steps |
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|:-------------:|:------:|:----:|:---------------:|:----------------:|:----------------------------:|:----------------------------:|:---------------------------:|:---------------------------------:|:--------------------------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|:------------------:|:------------------:|
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| 5.0674 | 0.4188 | 200 | 0.6322 | 0.0051 | 28.6770 | 0.1452 | 0.2575 | -0.4644 | 0.0631 | -0.0590 | -0.2042 | 0.7170 | 0.1452 | -291.7776 | -304.7309 | -280.4283 | -264.7045 | 1.8063 | 2.1551 | 0.6990 | 0.2930 |
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| 5.1073 | 0.8377 | 400 | 0.6403 | 0.0021 | 59.0314 | 0.1219 | 0.2152 | -0.4699 | 0.0531 | -0.1383 | -0.2601 | 0.7165 | 0.1219 | -346.2501 | -389.5577 | -280.4283 | -264.7045 | 1.5736 | 1.9569 | 0.7085 | 0.2855 |
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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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