61 lines
1.5 KiB
Markdown
61 lines
1.5 KiB
Markdown
---
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library_name: transformers
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base_model: vukien2301/llama-3.1-8b-deita-sft-teacher-epoch1
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- pvdhihihi/ultra-feedback
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model-index:
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- name: dpo_teacher_epoch1
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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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# dpo_teacher_epoch1
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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.
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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: 7e-07
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- train_batch_size: 32
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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: 8
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- total_train_batch_size: 256
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- total_eval_batch_size: 64
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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: constant
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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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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.5.1+cu124
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- Datasets 4.8.5
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- Tokenizers 0.21.4
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