End of training
Browse files- README.md +7 -11
- adapter_config.json +5 -15
- adapter_model.safetensors +2 -2
- tokenizer_config.json +1 -0
- training_args.bin +2 -2
README.md
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- trl
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- sft
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- generated_from_trainer
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base_model:
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model-index:
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- name: llava-1.5-7b-hf-med
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results: []
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# llava-1.5-7b-hf-med
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This model
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1.4e-05
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.
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- Tokenizers 0.19.1
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- trl
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- sft
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- generated_from_trainer
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base_model: llava_21
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model-index:
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- name: llava-1.5-7b-hf-med
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results: []
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# llava-1.5-7b-hf-med
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This model was trained from scratch on the None dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1.4e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.41.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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adapter_config.json
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"base_model_class": "LlavaForConditionalGeneration",
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"parent_library": "transformers.models.llava.modeling_llava"
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},
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"base_model_name_or_path": "
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha":
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"lora_dropout": 0.
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"fc1",
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"q_proj",
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"
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"
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"linear_1",
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"up_proj",
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"k_proj",
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"gate_proj",
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"out_proj",
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"linear_2",
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"o_proj",
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"v_proj"
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],
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"task_type": null,
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"use_dora": false,
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"base_model_class": "LlavaForConditionalGeneration",
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"parent_library": "transformers.models.llava.modeling_llava"
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},
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"base_model_name_or_path": "llava_21",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj",
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"k_proj"
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],
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"task_type": null,
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"use_dora": false,
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adapter_model.safetensors
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tokenizer_config.json
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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}
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},
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"bos_token": "<s>",
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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.USER: <image> {{ messages['question'] }} ASSISTANT: {{ messages['answer'] }}{{eos_token}}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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training_args.bin
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