First model version
Browse files- README.md +24 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-1000/README.md +24 -0
- checkpoint-1000/adapter_config.json +21 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/trainer_state.json +371 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1500/README.md +24 -0
- checkpoint-1500/adapter_config.json +21 -0
- checkpoint-1500/adapter_model.safetensors +3 -0
- checkpoint-1500/optimizer.pt +3 -0
- checkpoint-1500/rng_state.pth +3 -0
- checkpoint-1500/scheduler.pt +3 -0
- checkpoint-1500/trainer_state.json +546 -0
- checkpoint-1500/training_args.bin +3 -0
- checkpoint-500/README.md +24 -0
- checkpoint-500/adapter_config.json +21 -0
- checkpoint-500/adapter_model.safetensors +3 -0
- checkpoint-500/optimizer.pt +3 -0
- checkpoint-500/rng_state.pth +3 -0
- checkpoint-500/scheduler.pt +3 -0
- checkpoint-500/trainer_state.json +196 -0
- checkpoint-500/training_args.bin +3 -0
- runs/Apr06_08-36-05_n69ko6zv8m/events.out.tfevents.1712392568.n69ko6zv8m.2711.0 +3 -0
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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- quant_method: bitsandbytes
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- _load_in_8bit: True
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- _load_in_4bit: False
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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: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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- bnb_4bit_quant_storage: uint8
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- load_in_4bit: False
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- load_in_8bit: True
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### Framework versions
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- PEFT 0.5.0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "sallywww/Llama-7B",
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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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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_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.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fa326ce5833dca16fa6fa346b446a151f38350a6b93c5d4f4f93ddd50bfbb28
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size 16823434
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checkpoint-1000/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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5 |
+
|
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+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
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8 |
+
- quant_method: bitsandbytes
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9 |
+
- _load_in_8bit: True
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+
- _load_in_4bit: False
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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: fp4
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+
- bnb_4bit_use_double_quant: False
|
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+
- bnb_4bit_compute_dtype: float32
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+
- bnb_4bit_quant_storage: uint8
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- load_in_4bit: False
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- load_in_8bit: True
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### Framework versions
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- PEFT 0.5.0
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checkpoint-1000/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "sallywww/Llama-7B",
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"bias": "none",
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5 |
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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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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_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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checkpoint-1000/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3659f379e9d178076ed3cb7f0de98dc7d28160b63d57279e248d1cf3678f0c6
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size 16794200
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checkpoint-1000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:212f93d9e51fb6f0f2e8f97814e0cda9eb7e5569467d1c576f323ffc4f16d58f
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size 33662074
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checkpoint-1000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a5039698343e4bb12f6f68ea2a34c21c1b00202d00f8ee74f5a2d610019f551
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size 14244
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checkpoint-1000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:24c71b66b11d713aa5d2e6e370550d880a0c43866355fe5bed78940416e377e7
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size 1064
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checkpoint-1000/trainer_state.json
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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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### Framework versions
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- PEFT 0.5.0
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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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### Framework versions
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- PEFT 0.5.0
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