Training in progress, step 500

adapter_config.json

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+  "base_model_name_or_path": "microsoft/deberta-v3-base",
+  "bias": "none",
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+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
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+  "loftq_config": {},
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+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 1,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
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+    "query_proj"
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+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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added_tokens.json

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+{
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+}

special_tokens_map.json

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+{
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+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
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spm.model

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tokenizer_config.json

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+  "cls_token": "[CLS]",
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+  "eos_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "split_by_punct": false,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}

training_args.bin

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