62 lines
1.8 KiB
Markdown
62 lines
1.8 KiB
Markdown
---
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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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This is first pass training. Further training and model update coming.
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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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