Model save
Browse files- README.md +62 -0
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- runs/May16_14-53-02_gpu4-119-5/events.out.tfevents.1715835303.gpu4-119-5.182802.0 +2 -2
- train_results.json +8 -0
- trainer_state.json +618 -0
README.md
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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-v33-i1
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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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# phi-2-gpo-v33-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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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: 5e-06
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- train_batch_size: 4
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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: 1
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### Training results
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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adapter_model.safetensors
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all_results.json
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"train_samples_per_second": 3.379,
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"train_steps_per_second": 0.07
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}
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runs/May16_14-53-02_gpu4-119-5/events.out.tfevents.1715835303.gpu4-119-5.182802.0
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size 31674
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train_results.json
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"train_runtime": 5919.6286,
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"train_samples": 20000,
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"train_samples_per_second": 3.379,
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"train_steps_per_second": 0.07
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}
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trainer_state.json
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