W-61/llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.45-20260427-221551
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Model: W-61/llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.45-20260427-221551
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---
library_name: transformers
base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
tags:
- alignment-handbook
- new-dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.45-20260427-221551
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-ultrafeedback-4xh200-batch-128-q_t-0.45-s_star-0.45-20260427-221551
This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5654
- Fcm Dpo/beta: 0.0053
- Margin Dpo/margin Mean: 76.3970
- Margin Dpo/margin Std: 117.3571
- Logps/chosen: -452.7190
- Logps/rejected: -508.2192
- Logps/ref Chosen: -287.8268
- Logps/ref Rejected: -266.9300
- Kl/chosen Kl Mean: -164.8922
- Kl/rejected Kl Mean: -241.2892
- Kl/mean: -203.0907
- Kl/std: 105.0539
- Logits/chosen: -0.8540
- Logits/rejected: -0.8401
## 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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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 | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Kl/chosen Kl Mean | Kl/rejected Kl Mean | Kl/mean | Kl/std | Logits/chosen | Logits/rejected |
|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-----------------:|:-------------------:|:---------:|:--------:|:-------------:|:---------------:|
| 4.7729 | 0.4188 | 200 | 0.5649 | 0.0093 | 45.6673 | 71.5906 | -366.5140 | -391.2846 | -287.8268 | -266.9300 | -78.6872 | -124.3545 | -101.5209 | 64.7014 | -0.8783 | -0.8629 |
| 4.5768 | 0.8377 | 400 | 0.5654 | 0.0053 | 76.3970 | 117.3571 | -452.7190 | -508.2192 | -287.8268 | -266.9300 | -164.8922 | -241.2892 | -203.0907 | 105.0539 | -0.8540 | -0.8401 |
### Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4

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"eval_KL/mean": -214.0789337158203,
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"eval_KL/std": 108.87296295166016,
"eval_fcm_dpo/beta": 0.004879707470536232,
"eval_logits/chosen": -0.8583829998970032,
"eval_logits/rejected": -0.8428274393081665,
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"eval_loss": 0.5694514513015747,
"eval_margin_dpo/margin_mean": 78.59707641601562,
"eval_margin_dpo/margin_std": 121.47869110107422,
"eval_runtime": 78.2536,
"eval_samples": 2000,
"eval_samples_per_second": 25.558,
"eval_steps_per_second": 3.195,
"total_flos": 0.0,
"train_loss": 4.705121593155451,
"train_runtime": 6559.8554,
"train_samples": 61135,
"train_samples_per_second": 9.32,
"train_steps_per_second": 0.073
}

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{
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
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"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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{
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"eval_KL/mean": -214.0789337158203,
"eval_KL/rejected_KL_mean": -253.3774871826172,
"eval_KL/std": 108.87296295166016,
"eval_fcm_dpo/beta": 0.004879707470536232,
"eval_logits/chosen": -0.8583829998970032,
"eval_logits/rejected": -0.8428274393081665,
"eval_logps/chosen": -462.607177734375,
"eval_logps/ref_chosen": -287.8268127441406,
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"eval_loss": 0.5694514513015747,
"eval_margin_dpo/margin_mean": 78.59707641601562,
"eval_margin_dpo/margin_std": 121.47869110107422,
"eval_runtime": 78.2536,
"eval_samples": 2000,
"eval_samples_per_second": 25.558,
"eval_steps_per_second": 3.195
}

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{
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"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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