Training complete, uploading model.
Browse files- README.md +58 -0
- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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---
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base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
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library_name: peft
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license: llama3.1
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tags:
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- trl
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- sft
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- unsloth
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- generated_from_trainer
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model-index:
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- name: WooWoof_AI_Vision
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results: []
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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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# WooWoof_AI_Vision
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This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-bnb-4bit) 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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 3407
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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_steps: 10
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- num_epochs: 10
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### Training results
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### Framework versions
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- PEFT 0.13.0
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- Transformers 4.45.1
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- Pytorch 2.3.1
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- Datasets 3.0.0
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- Tokenizers 0.20.0
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adapter_config.json
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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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"gate_proj",
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"up_proj",
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"v_proj",
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"o_proj",
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"k_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"up_proj",
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"v_proj",
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"o_proj",
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"k_proj",
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"q_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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training_args.bin
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