Training in progress, epoch 1

adapter_config.json

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+  "base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
+  "bias": "none",
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+  "inference_mode": true,
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+  "lora_alpha": 32,
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+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
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+  "target_modules": [
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+    "v_proj",
+    "q_proj"
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+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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special_tokens_map.json

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+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
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tokenizer.model

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tokenizer_config.json

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+{
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+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
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+  "clean_up_tokenization_spaces": false,
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+  "eot_token": "▁<EOT>",
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": {
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+    "lstrip": false,
+    "normalized": true,
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training_args.bin

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