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Add carsenk__flippa-v6

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  1. carsenk__flippa-v6/.gitattributes +35 -0
  2. carsenk__flippa-v6/README.md +73 -0
  3. carsenk__flippa-v6/adapter_config.json +28 -0
  4. carsenk__flippa-v6/adapter_model.safetensors +3 -0
  5. carsenk__flippa-v6/training_args.bin +3 -0
carsenk__flippa-v6/.gitattributes ADDED
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carsenk__flippa-v6/README.md ADDED
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+ ---
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+ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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+ library_name: peft
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+ license: llama3.1
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: flippa-v6
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+ results: []
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+ ---
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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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+
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+ # flippa-v6
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5640
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 3
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+ - eval_batch_size: 3
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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: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.9009 | 1.0 | 500 | 1.9374 |
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+ | 1.6797 | 2.0 | 1000 | 1.7561 |
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+ | 1.5561 | 3.0 | 1500 | 1.6929 |
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+ | 1.5276 | 4.0 | 2000 | 1.6550 |
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+ | 1.5116 | 5.0 | 2500 | 1.6310 |
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+ | 1.465 | 6.0 | 3000 | 1.6144 |
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+ | 1.4707 | 7.0 | 3500 | 1.6029 |
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+ | 1.4412 | 8.0 | 4000 | 1.5939 |
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+ | 1.4494 | 9.0 | 4500 | 1.5857 |
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+ | 1.4433 | 10.0 | 5000 | 1.5791 |
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+ | 1.4348 | 11.0 | 5500 | 1.5734 |
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+ | 1.4185 | 12.0 | 6000 | 1.5696 |
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+ | 1.404 | 13.0 | 6500 | 1.5665 |
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+ | 1.4087 | 14.0 | 7000 | 1.5648 |
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+ | 1.4268 | 15.0 | 7500 | 1.5640 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.2
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
carsenk__flippa-v6/adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
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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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+ "layer_replication": null,
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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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+ "peft_type": "LORA",
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+ "r": 8,
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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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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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