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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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- base_model:adapter:meta-llama/Llama-3.2-1B-Instruct |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: Llama-3.2-1B-Instruct-tuned |
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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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# Llama-3.2-1B-Instruct-tuned |
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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: 1.5964 |
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- Perplexity: 4.9351 |
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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: 0.003 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Perplexity | |
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|:-------------:|:------:|:----:|:---------------:|:----------:| |
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| No log | 0 | 0 | 4.5699 | 96.5354 | |
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| No log | 0.6011 | 333 | 1.7253 | 5.6141 | |
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| 1.8003 | 1.2022 | 666 | 1.6644 | 5.2825 | |
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| 1.8003 | 1.8032 | 999 | 1.6342 | 5.1252 | |
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| 1.6299 | 2.4043 | 1332 | 1.6094 | 5.0000 | |
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| 1.6299 | 3 | 1664 | 1.5964 | 4.9351 | |
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### Framework versions |
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- PEFT 0.16.0 |
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- Transformers 4.54.1 |
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- Pytorch 2.7.1+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
