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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-3.2-3B-Instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: llama-music_fold_10
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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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+ # llama-music_fold_10
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0137
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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: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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
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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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+ | 2.1414 | 1.0 | 184 | 1.0696 |
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+ | 2.084 | 2.0 | 368 | 1.0323 |
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+ | 2.4312 | 3.0 | 552 | 1.0137 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.1
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+ - Pytorch 2.3.1
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ {
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+ "bos_token_id": 128000,
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 128001,
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+ 128008,
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+ 128009
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+ ],
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+ "temperature": 0.6,
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+ "top_p": 0.9,
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+ "transformers_version": "4.43.1"
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+ }
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