Model save
Browse files- README.md +62 -0
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- all_results.json +8 -0
- runs/May19_03-07-30_gpu4-119-4/events.out.tfevents.1716052279.gpu4-119-4.3791581.0 +2 -2
- runs/May19_09-00-52_gpu4-119-4/events.out.tfevents.1716073311.gpu4-119-4.4154864.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +1374 -0
- training_args.bin +1 -1
README.md
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---
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+
license: apache-2.0
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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-sft-lora-ultrachat-merged
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model-index:
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- name: phi-2-dpo-chatml
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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-dpo-chatml
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This model is a fine-tuned version of [DUAL-GPO/phi-2-sft-lora-ultrachat-merged](https://huggingface.co/DUAL-GPO/phi-2-sft-lora-ultrachat-merged) 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: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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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+cu118
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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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{
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"alpha_pattern": {},
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"auto_mapping": null,
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-
"base_model_name_or_path": "
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj",
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"dense",
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"k_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "DUAL-GPO/phi-2-sft-lora-ultrachat-merged",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"dense",
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"k_proj",
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"v_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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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 335579632
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version https://git-lfs.github.com/spec/v1
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oid sha256:b625585b975637b62de2e0a7fef025149816b12b1adec30bc7d2b790acf1b544
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size 335579632
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.0333975282639109,
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"train_runtime": 873.8284,
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"train_samples": 61135,
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+
"train_samples_per_second": 69.962,
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"train_steps_per_second": 1.093
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}
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runs/May19_03-07-30_gpu4-119-4/events.out.tfevents.1716052279.gpu4-119-4.3791581.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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size 65894
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runs/May19_09-00-52_gpu4-119-4/events.out.tfevents.1716073311.gpu4-119-4.4154864.0
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version https://git-lfs.github.com/spec/v1
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size 8399
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.0333975282639109,
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"train_runtime": 873.8284,
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"train_samples": 61135,
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"train_samples_per_second": 69.962,
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"train_steps_per_second": 1.093
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}
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trainer_state.json
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