Model save
Browse files- README.md +60 -0
- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- runs/May08_06-58-17_gpu4-119-5/events.out.tfevents.1715115552.gpu4-119-5.3977414.0 +2 -2
- runs/May08_16-00-04_gpu4-119-5/events.out.tfevents.1715148072.gpu4-119-5.184026.0 +3 -0
- runs/May08_16-04-55_gpu4-119-5/events.out.tfevents.1715148367.gpu4-119-5.189970.0 +3 -0
- runs/May08_16-10-42_gpu4-119-5/events.out.tfevents.1715148720.gpu4-119-5.197226.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_args.bin +1 -1
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/zephyr-7b-gpo-final-i0
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model-index:
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- name: zephyr-7b-gpo-v7-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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# zephyr-7b-gpo-v7-i1
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This model is a fine-tuned version of [DUAL-GPO/zephyr-7b-gpo-final-i0](https://huggingface.co/DUAL-GPO/zephyr-7b-gpo-final-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: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 4
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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: 0.88
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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_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"up_proj",
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"o_proj",
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"k_proj",
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"
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"v_proj",
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"
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],
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"task_type": "CAUSAL_LM"
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}
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"down_proj",
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"up_proj",
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"v_proj",
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"o_proj",
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"gate_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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all_results.json
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{
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"epoch": 0.9,
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"train_loss": 2.6126050373789884e-05,
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"train_runtime": 6.3979,
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"train_samples": 33340,
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"train_samples_per_second": 4585.774,
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"train_steps_per_second": 1146.475
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}
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runs/May08_06-58-17_gpu4-119-5/events.out.tfevents.1715115552.gpu4-119-5.3977414.0
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runs/May08_16-00-04_gpu4-119-5/events.out.tfevents.1715148072.gpu4-119-5.184026.0
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runs/May08_16-04-55_gpu4-119-5/events.out.tfevents.1715148367.gpu4-119-5.189970.0
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runs/May08_16-10-42_gpu4-119-5/events.out.tfevents.1715148720.gpu4-119-5.197226.0
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train_results.json
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{
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"epoch": 0.9,
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"train_loss": 2.6126050373789884e-05,
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"train_runtime": 6.3979,
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"train_samples": 33340,
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"train_samples_per_second": 4585.774,
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"train_steps_per_second": 1146.475
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}
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trainer_state.json
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training_args.bin
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