upload deprecated PEFT adapter model. use for eval only.

Backup-2023-08-18/README.md

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+---
+library_name: peft
+---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: True
+- load_in_4bit: False
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+### Framework versions
+
+
+- PEFT 0.5.0.dev0

Backup-2023-08-18/adapter_config.json

@@ -0,0 +1,21 @@
+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "models/TheBloke_Llama-2-13B-fp16",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 512,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 256,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

Backup-2023-08-18/adapter_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aef9933db2b706f9f24f378a947ef03fe7742cefe1cae1da3aa06c3d89ddd4e4
+size 419488269

Backup-2023-08-18/training_parameters.json

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+{
+  "lora_name": "greener-13-2-base-8bitB",
+  "always_override": false,
+  "save_steps": 0.0,
+  "micro_batch_size": 4,
+  "batch_size": 128,
+  "epochs": 1.0,
+  "learning_rate": "3e-4",
+  "lr_scheduler_type": "linear",
+  "lora_rank": 256,
+  "lora_alpha": 512,
+  "lora_dropout": 0.05,
+  "cutoff_len": 256,
+  "dataset": "None",
+  "eval_dataset": "None",
+  "format": "None",
+  "eval_steps": 100.0,
+  "raw_text_file": "greener-pg24246-trim1",
+  "overlap_len": 128,
+  "newline_favor_len": 128,
+  "higher_rank_limit": false,
+  "warmup_steps": 100.0,
+  "optimizer": "adamw_torch",
+  "hard_cut_string": "\\n\\n\\n",
+  "train_only_after": "",
+  "stop_at_loss": 0,
+  "add_eos_token": false,
+  "min_chars": 0.0,
+  "report_to": "tensorboard"
+}

Backup-2023-08-18/training_prompt.json

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+{
+  "template_type": "raw_text"
+}

README.md

@@ -0,0 +1,44 @@
+---
+library_name: peft
+---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: True
+- load_in_4bit: False
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: True
+- load_in_4bit: False
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: True
+- load_in_4bit: False
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+### Framework versions
+
+- PEFT 0.5.0.dev0
+- PEFT 0.5.0.dev0
+
+- PEFT 0.5.0.dev0

adapter_config.json

@@ -0,0 +1,21 @@
+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "models/TheBloke_Llama-2-13B-fp16",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 512,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 256,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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+oid sha256:5e9323b0e2f29493ec38fa416a7d3e4a18b0edf734cff70838679be45ae61de6
+size 838918733

runs/Aug18_21-58-04_DESKTOP-ALJIUJP/events.out.tfevents.1692421084.DESKTOP-ALJIUJP.10890.0

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+size 4483

runs/Aug18_22-09-45_DESKTOP-ALJIUJP/events.out.tfevents.1692421785.DESKTOP-ALJIUJP.467302.0

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+size 5139

training_log.json

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+{
+  "base_model_name": "TheBloke_Llama-2-13B-fp16",
+  "base_model_class": "LlamaForCausalLM",
+  "base_loaded_in_4bit": false,
+  "base_loaded_in_8bit": true,
+  "projections": "q, v",
+  "loss": 2.5449,
+  "learning_rate": 0.0001125,
+  "epoch": 0.99,
+  "current_steps": 383,
+  "train_runtime": 604.1501,
+  "train_samples_per_second": 2.569,
+  "train_steps_per_second": 0.02,
+  "total_flos": 3.081650980257792e+16,
+  "train_loss": 2.6347402334213257
+}

training_parameters.json

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+{
+  "lora_name": "greener-13-2-base-8bitB",
+  "always_override": false,
+  "save_steps": 0.0,
+  "micro_batch_size": 4,
+  "batch_size": 128,
+  "epochs": 1.0,
+  "learning_rate": "3e-4",
+  "lr_scheduler_type": "linear",
+  "lora_rank": 256,
+  "lora_alpha": 512,
+  "lora_dropout": 0.05,
+  "cutoff_len": 256,
+  "dataset": "None",
+  "eval_dataset": "None",
+  "format": "None",
+  "eval_steps": 100.0,
+  "raw_text_file": "greener-pg24246-trim1",
+  "overlap_len": 128,
+  "newline_favor_len": 128,
+  "higher_rank_limit": false,
+  "warmup_steps": 100.0,
+  "optimizer": "adamw_torch",
+  "hard_cut_string": "\\n\\n\\n",
+  "train_only_after": "",
+  "stop_at_loss": 0,
+  "add_eos_token": false,
+  "min_chars": 0.0,
+  "report_to": "tensorboard"
+}

training_prompt.json

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+{
+  "template_type": "raw_text"
+}