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Model: vukien2301/llama-3.1-8b-ultrafeedback-dpo-from-epoch1
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model: vukien2301/llama-3.1-8b-deita-sft-teacher-epoch1
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- pvdhihihi/ultra-feedback
+model-index:
+- name: dpo_teacher_epoch1
+  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. -->
+
+# dpo_teacher_epoch1
+
+This model is a fine-tuned version of [/home/minchan.kwon/ADPA/model/llama3.2-1b-deita-dpomix/ref_teacher_3epochs/checkpoint-191](https://huggingface.co//home/minchan.kwon/ADPA/model/llama3.2-1b-deita-dpomix/ref_teacher_3epochs/checkpoint-191) on the pvdhihihi/ultra-feedback dataset.
+
+## 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: 7e-07
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 256
+- total_eval_batch_size: 64
+- 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: constant
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu124
+- Datasets 4.8.5
+- Tokenizers 0.21.4