Upload 5 files
Browse files- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- training_log.json +16 -0
- training_parameters.json +37 -0
- training_prompt.json +3 -0
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": "models/TheBloke_rocket-3B-GPTQ",
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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": 512,
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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": 256,
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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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],
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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 sha256:378309be4b5baaa00ac9e34d7a2d13fcc81636228cddb3c97406e48ba84aa4da
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size 335561896
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training_log.json
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{
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"base_model_name": "TheBloke_rocket-3B-GPTQ",
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"base_model_class": "StableLMEpochForCausalLM",
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"base_loaded_in_4bit": false,
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"base_loaded_in_8bit": false,
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"projections": "q, v",
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"train_runtime": 264.9595,
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"train_samples_per_second": 0.83,
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"train_steps_per_second": 0.038,
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"total_flos": 460646315458560.0,
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"train_loss": 0.4070990443229675,
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"epoch": 8.0,
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"current_steps": 74,
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"loss": 0.3442,
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"learning_rate": 0.00023076923076923076
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}
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training_parameters.json
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{
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"lora_name": "erotica",
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"always_override": true,
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"q_proj_en": true,
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"v_proj_en": true,
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"k_proj_en": false,
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"o_proj_en": false,
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"gate_proj_en": false,
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"down_proj_en": false,
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"up_proj_en": false,
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"save_steps": 0.0,
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"micro_batch_size": 8,
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"batch_size": 64,
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"epochs": 10.0,
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"learning_rate": "3e-4",
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"lr_scheduler_type": "cosine",
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"lora_rank": 256,
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"lora_alpha": 512,
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"lora_dropout": 0.05,
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"cutoff_len": 2048,
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"dataset": "alpaca_data_cleaned",
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"eval_dataset": "None",
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"format": "alpaca-format",
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"eval_steps": 100.0,
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"raw_text_file": "erotica",
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"overlap_len": 128,
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"newline_favor_len": 128,
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"higher_rank_limit": false,
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"warmup_steps": 100.0,
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"optimizer": "adamw_torch",
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"hard_cut_string": "***",
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"train_only_after": "",
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"stop_at_loss": 0,
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"add_eos_token": false,
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"min_chars": 0.0,
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"report_to": "None"
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}
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training_prompt.json
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{
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"template_type": "raw_text"
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}
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