Training in progress, step 100, checkpoint

checkpoint-100/README.md

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+---
+library_name: peft
+---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- 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: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+### Framework versions
+
+
+- PEFT 0.6.0.dev0

checkpoint-100/adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-13b-Instruct-hf",
+  "bias": "lora_only",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 8,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

checkpoint-100/adapter_model.bin

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checkpoint-100/optimizer.pt

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checkpoint-100/rng_state.pth

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checkpoint-100/scheduler.pt

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checkpoint-100/trainer_state.json

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+{
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+  "best_model_checkpoint": "./text2sql/13b-codellama_instruct_pt_text2sql_ckpt8k_ft_spider/checkpoint-100",
+  "epoch": 0.3695150115473441,
+  "eval_steps": 100,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 6.17283950617284e-07,
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+      "eval_runtime": 78.7093,
+      "eval_samples_per_second": 13.137,
+      "eval_steps_per_second": 3.291,
+      "step": 100
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+  "logging_steps": 50,
+  "max_steps": 1350,
+  "num_train_epochs": 5,
+  "save_steps": 100,
+  "total_flos": 4.838987274190848e+16,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-100/training_args.bin

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