| --- |
| library_name: transformers |
| license: mit |
| base_model: nisten/Biggie-SmoLlm-0.15B-Base |
| tags: |
| - generated_from_trainer |
| - function_calling |
| - function-calling |
| - GGUF |
| model-index: |
| - name: capybara_finetuned_results |
| results: [] |
| datasets: |
| - NousResearch/hermes-function-calling-v1 |
| pipeline_tag: text2text-generation |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # capybara_finetuned_results |
|
|
| This model is a fine-tuned version of [nisten/Biggie-SmoLlm-0.15B-Base](https://huggingface.co/nisten/Biggie-SmoLlm-0.15B-Base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0289 |
|
|
| ## Model description |
|
|
|  |
| <video controls autoplay muted src="https://0x0.st/XYF7.mp4"></video> |
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 15 |
| - training_steps: 300 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.0284 | 8.4507 | 300 | 0.0289 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.4.0 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
