Training in progress, step 200

adapter_config.json

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+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "bias": "none",
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+  "loftq_config": {},
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+  "lora_dropout": 0.05,
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+  "megatron_core": "megatron.core",
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+  "peft_type": "LORA",
+  "r": 6,
+  "rank_pattern": {},
+  "revision": null,
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+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "o_proj",
+    "q_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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+  "model_max_length": 2048,
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+  "tokenizer_class": "LlamaTokenizer",
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