ZeroUniqueness
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Commit
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Parent(s):
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Training in progress, step 4000
Browse files- adapter_model.bin +1 -1
- checkpoint-3000/adapter_model/README.md +20 -0
- checkpoint-3000/adapter_model/adapter_config.json +26 -0
- checkpoint-3000/adapter_model/adapter_model.bin +3 -0
- checkpoint-4000/README.md +20 -0
- checkpoint-4000/adapter_config.json +26 -0
- checkpoint-4000/adapter_model.bin +3 -0
- checkpoint-4000/optimizer.pt +3 -0
- checkpoint-4000/rng_state.pth +3 -0
- checkpoint-4000/scheduler.pt +3 -0
- checkpoint-4000/trainer_state.json +288 -0
- checkpoint-4000/training_args.bin +3 -0
adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 500897101
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version https://git-lfs.github.com/spec/v1
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oid sha256:b112ce39756b7c05081ae163cb9098363f386978280821af68a6fa5286669b47
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size 500897101
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checkpoint-3000/adapter_model/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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- PEFT 0.5.0.dev0
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checkpoint-3000/adapter_model/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "/workspace/webui/models/TheBloke_Llama-2-13B-fp16",
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"bias": "none",
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"fan_in_fan_out": null,
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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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"lora_alpha": 16,
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"lora_dropout": 0.05,
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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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"revision": null,
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"target_modules": [
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"v_proj",
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"k_proj",
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"up_proj",
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"down_proj",
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"gate_proj",
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"o_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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checkpoint-3000/adapter_model/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e317ad223be2f7bb6f6d75fe7fdba37e02d4e3f6ff669cc7b1478197da5b1be
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size 500897101
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checkpoint-4000/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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9 |
+
- load_in_4bit: True
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+
- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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- PEFT 0.5.0.dev0
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checkpoint-4000/adapter_config.json
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"bias": "none",
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"peft_type": "LORA",
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"revision": null,
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"target_modules": [
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"v_proj",
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"k_proj",
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"up_proj",
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"down_proj",
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"gate_proj",
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"o_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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checkpoint-4000/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-4000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-4000/rng_state.pth
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checkpoint-4000/scheduler.pt
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checkpoint-4000/trainer_state.json
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