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Model: W-61/llama-3-8b-base-beta-dpo-hh-helpful-8xh200
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---
library_name: transformers
base_model: W-61/llama-3-8b-base-sft-hh-helpful-8xh200
tags:
- alignment-handbook
- beta-dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: llama-3-8b-base-beta-dpo-hh-helpful-8xh200-20260410-215627
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-3-8b-base-beta-dpo-hh-helpful-8xh200-20260410-215627
This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-helpful-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-helpful-8xh200) on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6427
- Beta Dpo/gap Mean: 20.0887
- Beta Dpo/gap Std: 30.0787
- Beta Dpo/beta Used Raw: -0.1169
- Beta Dpo/beta Used: 0.0317
- Beta Dpo/mask Keep Frac: 1.0
- Logits/chosen: -0.6626
- Logits/rejected: -0.6207
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | 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 |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|:----------------:|:----------------------:|:------------------:|:-----------------------:|:-------------:|:---------------:|
| 0.4098 | 0.2941 | 100 | 0.6251 | 7.9978 | 13.2607 | 0.0159 | 0.0433 | 1.0 | -0.6978 | -0.6669 |
| 0.5527 | 0.5882 | 200 | 0.6421 | 17.1059 | 25.9459 | -0.0801 | 0.0373 | 1.0 | -0.6983 | -0.6587 |
| 0.5831 | 0.8824 | 300 | 0.6427 | 20.0887 | 30.0787 | -0.1169 | 0.0317 | 1.0 | -0.6626 | -0.6207 |
### Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4

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"eval_loss": 0.6458496451377869,
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"eval_steps_per_second": 0.939,
"total_flos": 0.0,
"train_loss": 0.5267414394546958,
"train_runtime": 1440.2657,
"train_samples": 43598,
"train_samples_per_second": 30.271,
"train_steps_per_second": 0.236
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"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.51.0",
"use_cache": true,
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"eval_logits/rejected": -0.6267361044883728,
"eval_loss": 0.6458496451377869,
"eval_runtime": 20.2363,
"eval_samples": 2339,
"eval_samples_per_second": 115.585,
"eval_steps_per_second": 0.939
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