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README.md ADDED
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+ ---
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+ license: llama3.2
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+ base_model: meta-llama/Llama-3.2-1B-Instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: llama32
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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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+ # llama32
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset.
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 3.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.4
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.19.1
llama23-1b-prefix-is/adapter_config.json ADDED
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+ {
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+ "config": {
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+ "architecture": "prefix_tuning",
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+ "bottleneck_size": 512,
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+ "cross_prefix": true,
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+ "dropout": 0.0,
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+ "encoder_prefix": true,
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+ "flat": false,
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+ "leave_out": [],
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+ "non_linearity": "tanh",
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+ "prefix_length": 30,
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+ "shared_gating": true,
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+ "use_gating": false
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+ },
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+ "config_id": "648bf22f5afeaaa6",
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+ "hidden_size": 2048,
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+ "model_class": "LlamaForCausalLM",
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+ "model_name": "meta-llama/Llama-3.2-1B-Instruct",
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+ "model_type": "llama",
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+ "name": "llama23-1b-prefix-is",
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+ "version": "adapters.1.0.0"
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+ }
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+ "hidden_size": 2048,
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+ },
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+ "model_class": "LlamaForCausalLM",
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+ "model_name": "meta-llama/Llama-3.2-1B-Instruct",
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+ "model_type": "llama",
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+ "name": null,
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+ "num_labels": 2,
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+ "version": "adapters.1.0.0"
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+ }
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