252813cb7c
Model: jackf857/qwen3-8b-base-new-dpo-hh-harmless-4xh200-batch-64-q_t-0.45-s_star-0.4 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-harmless-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-harmless-4xh200-batch-64-q_t-0.45-s_star-0.4
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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-harmless-4xh200-batch-64-q_t-0.45-s_star-0.4
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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: 0.5698
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- Fcm Dpo/beta: 0.0074
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- Margin Dpo/margin Mean: 51.5411
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- Margin Dpo/margin Std: 86.1362
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- Logps/chosen: -172.7695
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- Logps/rejected: -234.1051
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- Logps/ref Chosen: -86.9018
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- Logps/ref Rejected: -96.6964
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- Logits/chosen: 1.3822
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- Logits/rejected: 1.2498
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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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| 1.3228 | 0.1512 | 100 | 0.6546 | 0.1000 | 0.8918 | 1.9761 | -86.2353 | -96.9216 | -86.9018 | -96.6964 | 1.6911 | 1.5774 |
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| 1.1508 | 0.3023 | 200 | 0.5664 | 0.0827 | 5.5014 | 9.7680 | -86.8311 | -102.1271 | -86.9018 | -96.6964 | 1.6408 | 1.5124 |
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| 1.1662 | 0.4535 | 300 | 0.5601 | 0.0232 | 19.9301 | 33.9240 | -106.0360 | -135.7607 | -86.9018 | -96.6964 | 1.3810 | 1.2532 |
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| 1.2381 | 0.6047 | 400 | 0.5746 | 0.0092 | 39.8591 | 68.7826 | -144.7731 | -194.4268 | -86.9018 | -96.6964 | 1.7610 | 1.6208 |
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| 1.1309 | 0.7559 | 500 | 0.5676 | 0.0079 | 51.0216 | 86.4987 | -169.9242 | -230.7403 | -86.9018 | -96.6964 | 1.5455 | 1.4084 |
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| 1.183 | 0.9070 | 600 | 0.5698 | 0.0074 | 51.5411 | 86.1362 | -172.7695 | -234.1051 | -86.9018 | -96.6964 | 1.3822 | 1.2498 |
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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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