W-61/llama-3-8b-base-new-dpo-hh-harmless-s_star1.0-4xh200-batch-64-20260421-213851
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Model: W-61/llama-3-8b-base-new-dpo-hh-harmless-s_star1.0-4xh200-batch-64-20260421-213851
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---
library_name: transformers
base_model: W-61/llama-3-8b-base-sft-hh-harmless-4xh200
tags:
- alignment-handbook
- new-dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: llama-3-8b-base-new-dpo-hh-harmless-s_star1.0-4xh200-batch-64-20260421-213851
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-new-dpo-hh-harmless-s_star1.0-4xh200-batch-64-20260421-213851
This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-harmless-4xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-harmless-4xh200) on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5467
- Fcm Dpo/beta: 0.2268
- Fcm Dpo/q T: 0.3412
- Fcm Dpo/delta: -0.0017
- Fcm Dpo/margin: 4.4089
- Margin Dpo/margin Mean: 4.4089
- Margin Dpo/margin Std: 7.2504
- Logps/chosen: -82.5570
- Logps/rejected: -91.6554
- Logps/ref Chosen: -74.8595
- Logps/ref Rejected: -79.5490
- Logits/chosen: 0.2724
- Logits/rejected: 0.2290
## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 | Fcm Dpo/beta | Fcm Dpo/q T | Fcm Dpo/delta | Fcm Dpo/margin | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|:-------------:|:------:|:----:|:---------------:|:------------:|:-----------:|:-------------:|:--------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
| 0.9878 | 0.3023 | 200 | 0.5709 | 0.4418 | 0.3475 | 0.0198 | 2.2173 | 2.2173 | 3.8804 | -79.5152 | -86.4220 | -74.8595 | -79.5490 | 0.2313 | 0.1912 |
| 0.966 | 0.6047 | 400 | 0.5573 | 0.2747 | 0.3451 | 0.0194 | 3.5687 | 3.5687 | 6.0461 | -81.6850 | -89.9432 | -74.8595 | -79.5490 | 0.2557 | 0.2135 |
| 1.122 | 0.9070 | 600 | 0.5467 | 0.2268 | 0.3412 | -0.0017 | 4.4089 | 4.4089 | 7.2504 | -82.5570 | -91.6554 | -74.8595 | -79.5490 | 0.2724 | 0.2290 |
### Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4

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{
"epoch": 0.999244142101285,
"eval_fcm_dpo/beta": 0.22239074110984802,
"eval_fcm_dpo/delta": 0.017137322574853897,
"eval_fcm_dpo/margin": 4.419626235961914,
"eval_fcm_dpo/q_t": 0.3427804410457611,
"eval_logits/chosen": 0.3007291853427887,
"eval_logits/rejected": 0.25601860880851746,
"eval_logps/chosen": -82.5825424194336,
"eval_logps/ref_chosen": -74.85946655273438,
"eval_logps/ref_rejected": -79.54898834228516,
"eval_logps/rejected": -91.69168853759766,
"eval_loss": 0.5452697277069092,
"eval_margin_dpo/margin_mean": 4.419626235961914,
"eval_margin_dpo/margin_std": 7.256680488586426,
"eval_runtime": 38.1623,
"eval_samples": 2303,
"eval_samples_per_second": 60.347,
"eval_steps_per_second": 1.887,
"total_flos": 0.0,
"train_loss": 1.0460260132617922,
"train_runtime": 1747.5645,
"train_samples": 42336,
"train_samples_per_second": 24.226,
"train_steps_per_second": 0.378
}

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{
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"eos_token_id": 128001,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 500000.0,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.51.0",
"use_cache": true,
"vocab_size": 128256
}

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{
"epoch": 0.999244142101285,
"eval_fcm_dpo/beta": 0.22239074110984802,
"eval_fcm_dpo/delta": 0.017137322574853897,
"eval_fcm_dpo/margin": 4.419626235961914,
"eval_fcm_dpo/q_t": 0.3427804410457611,
"eval_logits/chosen": 0.3007291853427887,
"eval_logits/rejected": 0.25601860880851746,
"eval_logps/chosen": -82.5825424194336,
"eval_logps/ref_chosen": -74.85946655273438,
"eval_logps/ref_rejected": -79.54898834228516,
"eval_logps/rejected": -91.69168853759766,
"eval_loss": 0.5452697277069092,
"eval_margin_dpo/margin_mean": 4.419626235961914,
"eval_margin_dpo/margin_std": 7.256680488586426,
"eval_runtime": 38.1623,
"eval_samples": 2303,
"eval_samples_per_second": 60.347,
"eval_steps_per_second": 1.887
}

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{
"bos_token_id": 128000,
"do_sample": true,
"eos_token_id": 128001,
"max_length": 4096,
"temperature": 0.6,
"top_p": 0.9,
"transformers_version": "4.51.0"
}

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