End of training

README.md

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+---
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: HuggingFaceH4/vsft-llava-1.5-7b-hf-trl
+model-index:
+- name: llava-1.5-7b-hf-ft-mix-vsft-3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# llava-1.5-7b-hf-ft-mix-vsft-3
+
+This model is a fine-tuned version of [HuggingFaceH4/vsft-llava-1.5-7b-hf-trl](https://huggingface.co/HuggingFaceH4/vsft-llava-1.5-7b-hf-trl) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1.4e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "LlavaForConditionalGeneration",
+    "parent_library": "transformers.models.llava.modeling_llava"
+  },
+  "base_model_name_or_path": "HuggingFaceH4/vsft-llava-1.5-7b-hf-trl",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "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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+    "gate_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj",
+    "linear_2",
+    "out_proj",
+    "fc1",
+    "k_proj",
+    "o_proj",
+    "lm_head",
+    "fc2",
+    "linear_1"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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+  "<pad>": 32001
+}

runs/Apr29_01-24-19_6e9d271be7ad/events.out.tfevents.1714353876.6e9d271be7ad.33.0

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special_tokens_map.json

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tokenizer_config.json

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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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+  "pad_token": "<pad>",
+  "padding_side": "left",
+  "processor_class": "LlavaProcessor",
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+  "tokenizer_class": "LlamaTokenizer",
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+}

training_args.bin

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