BraylonDash
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Model save
Browse files- README.md +60 -0
- adapter_config.json +28 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +40 -0
- all_results.json +8 -0
- merges.txt +0 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +325 -0
- train_results.json +8 -0
- trainer_state.json +44 -0
- training_args.bin +3 -0
- vocab.json +0 -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: microsoft/phi-2
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model-index:
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- name: phi-2-gpo-test-longest-iter-0
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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-test-longest-iter-0
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) 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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- gradient_accumulation_steps: 4
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- total_train_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: 2
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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 2.2.1+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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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "microsoft/phi-2",
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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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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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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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"dense",
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"v_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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version https://git-lfs.github.com/spec/v1
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oid sha256:9934804bce5e2fbca6820593fa6db937d8f1a0e24233f993236a18d8ce6acfbb
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size 41977616
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added_tokens.json
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all_results.json
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{
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"epoch": 1.33,
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"train_steps_per_second": 0.255
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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special_tokens_map.json
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"single_word": false
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tokenizer.json
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See raw diff
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tokenizer_config.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5880
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vocab.json
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