Instructions to use psh3333/document_classification_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psh3333/document_classification_V3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("psh3333/document_classification_V3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training completed - 3 epochs
Browse files- adapter_config.json +6 -6
- adapter_model.safetensors +2 -2
adapter_config.json
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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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_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"o_proj",
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"v_proj",
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"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/Qwen3-14B-unsloth-bnb-4bit",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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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_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r": 16,
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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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"o_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3dd06ab3870b24e6504f2c4869af5271974fe95b34b5bee01caca86efd2faacc
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size 83929160
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