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End of training
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README.md
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---
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license: apache-2.0
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base_model: tiiuae/falcon-7b
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tags:
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- generated_from_trainer
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model-index:
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- name: Kidney_Anatomy_Trained_Model_
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results: []
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library_name: peft
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Kidney_Anatomy_Trained_Model_
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This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- _load_in_8bit: False
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- _load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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- load_in_4bit: True
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- load_in_8bit: False
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 80
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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 0.5.0
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- Transformers 4.38.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.13.1
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- Tokenizers 0.15.2
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "tiiuae/falcon-7b",
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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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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ed9785f9733d794e93be7b039db719ae216aa0b58a85634267331cde348c374
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size 18883912
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runs/Jul12_19-10-55_b3a4bceaf42b/events.out.tfevents.1720811462.b3a4bceaf42b.1890.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1cf83ebdef1f2a9f3cd7753b1aa3b68c224bd2ceec8448b3c914ab2dd5e3463c
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size 22523
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fbf28eb7cdb924ae6cf481a99b1875e4edc9f2dcbc942876e4b95738ad805850
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size 4920
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