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adapter_config.json

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+{
+  "base_model_name_or_path": "models\\openlm-research_open_llama_3b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "lora_alpha": 600,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 300,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9f3b4d6c7e9c7b51be51c16a0d7025694f75990c6cae62cabe42f3f5626272fe
+size 399397485

training_log.json

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+{
+  "base_model_name": "openlm-research_open_llama_3b",
+  "base_model_class": "LlamaForCausalLM",
+  "base_loaded_in_4bit": true,
+  "base_loaded_in_8bit": false,
+  "projections": "q, v",
+  "loss": 2.2909,
+  "learning_rate": 0.00026989498249708284,
+  "epoch": 0.33,
+  "current_steps": 3036,
+  "train_runtime": 10929.8782,
+  "train_samples_per_second": 10.115,
+  "train_steps_per_second": 0.079,
+  "total_flos": 6.76424738930688e+16,
+  "train_loss": 2.387252706162473
+}

training_parameters.json

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+{
+  "lora_name": "OmegleBig",
+  "always_override": false,
+  "save_steps": 0.0,
+  "micro_batch_size": 4,
+  "batch_size": 128,
+  "epochs": 3.0,
+  "learning_rate": "3e-4",
+  "lr_scheduler_type": "linear",
+  "lora_rank": 300,
+  "lora_alpha": 600,
+  "lora_dropout": 0.05,
+  "cutoff_len": 512,
+  "dataset": "None",
+  "eval_dataset": "None",
+  "format": "None",
+  "eval_steps": 100.0,
+  "raw_text_file": "omegle",
+  "overlap_len": 256,
+  "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": "None"
+}

training_prompt.json

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