Downloads · 30 days
3
6% of all-time downloads
phi2_h_dpo_golden-hh_noise40_epoch3_new_def
ma921/phi2_h_dpo_golden-hh_noise40_epoch3_new_def
phi2_h_dpo_golden-hh_noise40_epoch3_new_def is a text generation model from ma921. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
49
Public
Parameters
2.8B
5.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors5.6 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- phi
- Access
- Public
- Created
- May 9, 2025
- Updated
- May 9, 2025
- SHA
- 4a2300ef
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
phi2_h_dpo_golden-hh_noise40_epoch3_new_def
This model is a fine-tuned version of ma921/phi-2-sft-golden-hh on an unknown 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: 1e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- 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: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- phi
- License
- mit
- Created
- May 9, 2025
- Updated
- May 9, 2025