2c77b1ba39
Model: W-61/llama-3-8b-base-margin-dpo-hh-helpful-4xh200-batch-64-20260417-212312 Source: Original Platform
87 lines
5.1 KiB
Markdown
87 lines
5.1 KiB
Markdown
---
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library_name: transformers
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base_model: llama-3-8b-base-sft-hh-helpful-4xh200-batch-64
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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: llama-3-8b-base-margin-dpo-hh-helpful-4xh200-batch-64-20260417-212312
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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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# llama-3-8b-base-margin-dpo-hh-helpful-4xh200-batch-64-20260417-212312
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This model is a fine-tuned version of [llama-3-8b-base-sft-hh-helpful-4xh200-batch-64](https://huggingface.co/llama-3-8b-base-sft-hh-helpful-4xh200-batch-64) on the Anthropic/hh-rlhf dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4055
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- Margin Dpo/beta: 0.1000
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- Margin Dpo/loss Margin Mean: 21.7395
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- Margin Dpo/beta Margin Mean: 2.1740
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- Margin Dpo/beta Margin Std: 2.6342
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- Margin Dpo/beta Margin Grad Mean: -0.2573
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- Margin Dpo/beta Margin Grad Std: 0.2541
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- Margin Dpo/margin Mean: 21.7395
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- Margin Dpo/margin Std: 26.3422
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- Logps/chosen: -105.8801
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- Logps/rejected: -135.3665
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- Logps/ref Chosen: -79.0510
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- Logps/ref Rejected: -86.7979
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- Logits/chosen: -0.6200
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- Logits/rejected: -0.5940
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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/beta | Margin Dpo/loss Margin Mean | Margin Dpo/beta Margin Mean | Margin Dpo/beta Margin Std | Margin Dpo/beta Margin Grad Mean | Margin Dpo/beta Margin Grad Std | 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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| 0.9045 | 0.1468 | 100 | 0.5612 | 0.1000 | 8.4438 | 0.8444 | 1.5441 | -0.3672 | 0.2312 | 8.4438 | 15.4407 | -87.2143 | -103.4049 | -79.0510 | -86.7979 | -0.6444 | -0.6169 |
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| 0.6573 | 0.2937 | 200 | 0.4777 | 0.1000 | 14.6731 | 1.4673 | 2.1103 | -0.3106 | 0.2466 | 14.6731 | 21.1032 | -92.9744 | -115.3944 | -79.0510 | -86.7979 | -0.6438 | -0.6210 |
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| 0.7096 | 0.4405 | 300 | 0.4405 | 0.1000 | 18.1127 | 1.8113 | 2.3747 | -0.2825 | 0.2514 | 18.1127 | 23.7469 | -100.1293 | -125.9889 | -79.0510 | -86.7979 | -0.6160 | -0.5900 |
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| 0.4494 | 0.5874 | 400 | 0.4219 | 0.1000 | 20.1798 | 2.0180 | 2.5367 | -0.2694 | 0.2538 | 20.1798 | 25.3668 | -101.8411 | -129.7678 | -79.0510 | -86.7979 | -0.6053 | -0.5765 |
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| 0.3799 | 0.7342 | 500 | 0.4100 | 0.1000 | 21.6333 | 2.1633 | 2.6378 | -0.2586 | 0.2554 | 21.6333 | 26.3782 | -106.3940 | -135.7742 | -79.0510 | -86.7979 | -0.6186 | -0.5922 |
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| 0.4868 | 0.8811 | 600 | 0.4055 | 0.1000 | 21.7395 | 2.1740 | 2.6342 | -0.2573 | 0.2541 | 21.7395 | 26.3422 | -105.8801 | -135.3665 | -79.0510 | -86.7979 | -0.6200 | -0.5940 |
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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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