Model save
Browse files
README.md
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---
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license:
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library_name: peft
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tags:
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- alignment-handbook
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- generated_from_trainer
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- trl
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- dpo
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- generated_from_trainer
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base_model: DUAL-GPO/phi-2-gpo-new-i0
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: phi-2-gpo-v6-i1
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results: []
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# phi-2-gpo-v6-i1
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This model is a fine-tuned version of [DUAL-GPO/phi-2-gpo-new-i0](https://huggingface.co/DUAL-GPO/phi-2-gpo-new-i0) on the
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## Model description
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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---
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license: mit
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library_name: peft
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tags:
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- trl
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- dpo
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- generated_from_trainer
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base_model: DUAL-GPO/phi-2-gpo-new-i0
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model-index:
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- name: phi-2-gpo-v6-i1
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results: []
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# phi-2-gpo-v6-i1
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This model is a fine-tuned version of [DUAL-GPO/phi-2-gpo-new-i0](https://huggingface.co/DUAL-GPO/phi-2-gpo-new-i0) on the None dataset.
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## Model description
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 3
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 48
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- total_eval_batch_size: 12
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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### Training results
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adapter_model.safetensors
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all_results.json
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"train_loss": 0.
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{
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"epoch": 2.0,
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"train_loss": 0.27172684411589915,
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"train_runtime": 11567.6763,
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"train_samples": 20000,
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"train_samples_per_second": 3.458,
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"train_steps_per_second": 0.072
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}
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runs/May15_15-27-49_gpu4-119-5/events.out.tfevents.1715750995.gpu4-119-5.3097660.0
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size 58293
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train_results.json
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{
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"epoch":
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"train_loss": 0.
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"train_runtime":
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"train_samples":
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"train_samples_per_second":
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"train_steps_per_second": 0.
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{
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"train_loss": 0.27172684411589915,
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"train_runtime": 11567.6763,
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"train_samples": 20000,
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"train_samples_per_second": 3.458,
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"train_steps_per_second": 0.072
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}
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trainer_state.json
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