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--- |
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license: mit |
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base_model: Josephgflowers/TinyLlama-3T-Cinder-v1.2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: TinyLlama-Cinder-Agent-Rag |
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results: [] |
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--- |
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# TinyLlama-Cinder-Agent-Rag |
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Special Thanks to https://nationtech.io/ for their generous sponorship in training this model. |
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This model is a fine-tuned version of [Josephgflowers/TinyLlama-3T-Cinder-v1.2](https://huggingface.co/Josephgflowers/TinyLlama-3T-Cinder-v1.2) on https://huggingface.co/datasets/Josephgflowers/agent_1. |
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## Model description |
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This models is trained for RAG, Summary, Function Calling and Tool usage. Trained off of Cinder. Cinder is a chatbot designed for chat about STEM topics and storytelling. More information coming. |
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More model versions coming soon. |
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See https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Agent-Rag/blob/main/tinyllama_agent_cinder_txtai-rag.py |
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For usage example with wiki rag. |
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## Intended uses & limitations |
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RAG, Chat, Summary, and tool usage. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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: 1.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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