7ea33623c3
Model: W-61/llama-3-8b-base-beta-dpo-hh-helpful-4xh200-batch-64-20260417-230753 Source: Original Platform
86 lines
4.8 KiB
Markdown
86 lines
4.8 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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- beta-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-beta-dpo-hh-helpful-4xh200-batch-64-20260417-230753
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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-beta-dpo-hh-helpful-4xh200-batch-64-20260417-230753
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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: 1.7101
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- Beta Dpo/beta: 0.0691
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- Beta Dpo/loss Margin Mean: 86.8606
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- Beta Dpo/beta Margin Mean: 10.0274
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- Beta Dpo/beta Margin Std: 12.8117
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- Beta Dpo/beta Margin Grad Mean: -0.4550
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- Beta Dpo/beta Margin Grad Std: 0.0744
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- Beta Dpo/gap Mean: 130.0152
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- Beta Dpo/gap Std: 165.0541
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- Beta Dpo/beta Used Raw: -2.4893
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- Beta Dpo/beta Used: 0.0691
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- Beta Dpo/mask Keep Frac: 1.0
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- Logits/chosen: -0.2789
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- Logits/rejected: -0.2575
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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 | Beta Dpo/beta | Beta Dpo/loss Margin Mean | Beta Dpo/beta Margin Mean | Beta Dpo/beta Margin Std | Beta Dpo/beta Margin Grad Mean | Beta Dpo/beta Margin Grad Std | Beta Dpo/gap Mean | Beta Dpo/gap Std | Beta Dpo/beta Used Raw | Beta Dpo/beta Used | Beta Dpo/mask Keep Frac | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:-------------:|:-------------------------:|:-------------------------:|:------------------------:|:------------------------------:|:-----------------------------:|:-----------------:|:----------------:|:----------------------:|:------------------:|:-----------------------:|:-------------:|:---------------:|
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| 0.9552 | 0.1468 | 100 | 0.6786 | 0.0046 | 9.8098 | 0.0725 | 0.1096 | -0.4895 | 0.0167 | 17.6954 | 22.1843 | -0.3731 | 0.0046 | 1.0 | -0.6698 | -0.6418 |
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| 0.8706 | 0.2937 | 200 | 0.6904 | 0.0046 | 27.7458 | 0.2199 | 0.3260 | -0.4903 | 0.0228 | 50.6913 | 68.2433 | -1.2767 | 0.0046 | 1.0 | -0.6064 | -0.5873 |
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| 2.8698 | 0.4405 | 300 | 0.8542 | 0.0215 | 46.8593 | 1.7761 | 2.5216 | -0.4710 | 0.0500 | 79.1242 | 110.1004 | -1.8359 | 0.0215 | 1.0 | -0.4178 | -0.4010 |
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| 18.5063 | 0.5874 | 400 | 0.7607 | 0.0093 | 66.8920 | 1.0762 | 1.4305 | -0.4753 | 0.0447 | 116.2162 | 143.8824 | -2.8595 | 0.0093 | 1.0 | -0.4157 | -0.3938 |
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| 1.1587 | 0.7342 | 500 | 1.3024 | 0.0541 | 78.1021 | 7.2488 | 9.0766 | -0.4557 | 0.0679 | 118.3478 | 142.3098 | -2.3147 | 0.0541 | 1.0 | -0.3590 | -0.3353 |
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| 4.9835 | 0.8811 | 600 | 1.7101 | 0.0691 | 86.8606 | 10.0274 | 12.8117 | -0.4550 | 0.0744 | 130.0152 | 165.0541 | -2.4893 | 0.0691 | 1.0 | -0.2789 | -0.2575 |
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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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