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--- |
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library_name: transformers |
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license: mit |
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base_model: nisten/Biggie-SmoLlm-0.15B-Base |
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tags: |
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- generated_from_trainer |
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- function_calling |
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- function-calling |
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- GGUF |
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model-index: |
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- name: capybara_finetuned_results |
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results: [] |
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datasets: |
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- NousResearch/hermes-function-calling-v1 |
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pipeline_tag: text2text-generation |
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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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# capybara_finetuned_results |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0289 |
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## Model description |
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 |
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<video controls autoplay muted src="https://0x0.st/XYF7.mp4"></video> |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 15 |
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- training_steps: 300 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.0284 | 8.4507 | 300 | 0.0289 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
