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--- |
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license: apache-2.0 |
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datasets: |
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- Salesforce/xlam-function-calling-60k |
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language: |
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- en |
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base_model: |
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- meta-llama/Llama-3.2-1B |
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pipeline_tag: text-generation |
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--- |
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# llama3.2-1B-Function-calling |
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**⚠️ Important: This model is still under development and has not been fully fine-tuned. It is not yet suitable for use in production and should be treated as a work-in-progress. The results and performance metrics shared here are preliminary and subject to change.** |
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## Model description |
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This model was trained from scratch on an unknown dataset and is intended for function-calling tasks. As it is still in early stages, further development is required to optimize its performance. |
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## Intended uses & limitations |
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Currently, this model is not fully trained or optimized for any specific task. It is intended to handle function-calling tasks but should not be used in production until more comprehensive fine-tuning and evaluation are completed. |
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## Training and evaluation data |
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More information is needed regarding the dataset used for training. The model has not yet been fully evaluated, and additional testing is required to confirm its capabilities. |
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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: 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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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 32 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.3083 | 0.9997 | 1687 | 0.3622 | |
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| 0.202 | 2.0 | 3375 | 0.2844 | |
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| 0.1655 | 2.9997 | 5061 | 0.1491 | |
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These results are preliminary, and further training will be necessary to refine the model's performance. |
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## Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
