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adapter_config.json

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+{
+  "base_model_name_or_path": "models\\Llama-2-13B-fp16-padded",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "lora_alpha": 1024,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 512,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41b8c8f70eb9d8b7204d0999f8e317c32f0d3d5efe09fc764b1938e7b133ca73
+size 1677779533

training_log.json

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+{
+  "base_model_name": "Llama-2-13B-fp16-padded",
+  "base_model_class": "LlamaForCausalLM",
+  "base_loaded_in_4bit": true,
+  "base_loaded_in_8bit": false,
+  "projections": "q, v",
+  "loss": 1.07,
+  "learning_rate": 1.7080653142008908e-05,
+  "epoch": 0.74,
+  "current_steps": 9678,
+  "train_runtime": 20262.2951,
+  "train_samples_per_second": 12.817,
+  "train_steps_per_second": 0.1,
+  "total_flos": 4.119249176808653e+17,
+  "train_loss": 1.1322209582423532
+}

training_parameters.json

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+{
+  "lora_name": "alpaca",
+  "always_override": false,
+  "save_steps": 0.0,
+  "micro_batch_size": 4,
+  "batch_size": 128,
+  "epochs": 5.0,
+  "learning_rate": "2e-5",
+  "lr_scheduler_type": "linear",
+  "lora_rank": 512,
+  "lora_alpha": 1024,
+  "lora_dropout": 0.05,
+  "cutoff_len": 256,
+  "dataset": "alpaca_data_cleaned_spanish",
+  "eval_dataset": "None",
+  "format": "alpaca-chatbot-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": "",
+  "stop_at_loss": 0,
+  "add_eos_token": false,
+  "min_chars": 0.0,
+  "report_to": "None"
+}

training_prompt.json

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+{
+  "template_type": "dataset",
+  "template_1": "User: %instruction%\nAssistant: %output%",
+  "template_2": "User: %instruction%: %input%\nAssistant: %output%"
+}