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End of training

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README.md ADDED
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+ ---
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+ library_name: peft
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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: test_tune
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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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+ # test_tune
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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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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1745
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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: 0.0005
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - training_steps: 100
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+ - mixed_precision_training: Native AMP
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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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+ | 2.1701 | 4.1 | 50 | 2.2675 |
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+ | 1.7542 | 9.1 | 100 | 2.1745 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.46.1
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+ - Pytorch 2.3.0+cu118
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+ - Datasets 3.0.2
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+ - Tokenizers 0.20.1
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+ "bias": "none",
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+ "init_lora_weights": true,
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+ "loftq_config": {},
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+ "megatron_core": "megatron.core",
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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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+ "layers.15.self_attn.k_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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