Training in progress, step 4

adapter_config.json

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+{
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+  "auto_mapping": {
+    "base_model_class": "LlavaForConditionalGeneration",
+    "parent_library": "transformers.models.llava.modeling_llava"
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+  "base_model_name_or_path": "llava-hf/llava-1.5-7b-hf",
+  "bias": "none",
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+  "inference_mode": true,
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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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+    "fc2",
+    "gate_proj",
+    "out_proj",
+    "o_proj",
+    "lm_head",
+    "k_proj",
+    "fc1",
+    "linear_2",
+    "down_proj",
+    "v_proj",
+    "linear_1",
+    "up_proj"
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+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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+{
+  "<image>": 32000,
+  "<pad>": 32001
+}

runs/Jul22_06-29-05_06a5491b1b9f/events.out.tfevents.1721629782.06a5491b1b9f.399.0

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special_tokens_map.json

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+    "lstrip": false,
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+    "rstrip": false,
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tokenizer.model

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tokenizer_config.json

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+{
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+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
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+  "chat_template": "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. {% for message in messages %}{% if message['role'] == 'user' %}USER: {% else %}ASSISTANT: {% endif %}{% for item in message['content'] %}{% if item['type'] == 'text' %}{{ item['text'] }}{% elif item['type'] == 'image' %}<image>{% endif %}{% endfor %}{% if message['role'] == 'user' %} {% else %}{{eos_token}}{% endif %}{% endfor %}",
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+  "eos_token": "</s>",
+  "legacy": false,
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+  "pad_token": "<pad>",
+  "padding_side": "left",
+  "processor_class": "LlavaProcessor",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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