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README.md

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+---
+library_name: peft
+---

adapter_config.json

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+{
+  "base_model_name_or_path": "models/chavinlo_alpaca-native",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "revision": null,
+  "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 sha256:43de423b165d4d64fe27290ec2099cf45cc5742d3224e5615aed5f83aee1683f
+size 51642368

training_log.json

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+{
+  "loss": 1.1535,
+  "learning_rate": 7.5e-05,
+  "epoch": 2.7,
+  "train_runtime": 3302.3968,
+  "train_samples_per_second": 4.12,
+  "train_steps_per_second": 0.004,
+  "total_flos": 1.2484302776303616e+17,
+  "train_loss": 1.434487760066986
+}

training_parameters.json

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+{
+  "lora_name": "lora-minnie-test",
+  "always_override": false,
+  "save_steps": 3.0,
+  "micro_batch_size": 4,
+  "batch_size": 128,
+  "epochs": 3.0,
+  "learning_rate": "3e-4",
+  "lr_scheduler_type": "linear",
+  "lora_rank": 32,
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "cutoff_len": 256,
+  "dataset": "codegen-instruct",
+  "eval_dataset": "None",
+  "format": "alpaca-format",
+  "eval_steps": 100.0,
+  "raw_text_file": "None",
+  "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": ""
+}