Training in progress, step 500

adapter_config.json

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+  "auto_mapping": {
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+    "parent_library": "transformers.models.llava.modeling_llava"
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+  "bias": "none",
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+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
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+    "down_proj",
+    "gate_proj",
+    "k_proj",
+    "fc2up_proj",
+    "v_projfc1"
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+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
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added_tokens.json

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+  "<pad>": 32001
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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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+  "chat_template": "\nA chat between a curious user and an artificial intelligence assistant.\nThe assistant gives helpful, detailed, and polite answers to the user's questions.\n{% for message in messages %}\n\t{% if message['role'] == 'user' %}\n\t\tUSER:\n\t{% else %}\n\t\tASSISTANT:\n\t{% endif %}\n\n\t{% for item in message['content'] %}\n\t\t{% if item['type'] == 'text' %}\n\t\t\t{{ item['text'] }}\n\t\t{% elif item['type'] == 'image' %}\n\t\t\t<image>\n\t\t{% endif %}\n\t{% endfor %}\n\n\t{% if message['role'] == 'user' %}\n\t{% else %}\n\t\t{{eos_token}}\n\t{% endif %}\n{% endfor %}\n",
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+  "pad_token": "<pad>",
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+  "processor_class": "LlavaProcessor",
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+  "tokenizer_class": "LlamaTokenizer",
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+}

training_args.bin

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