Adventure LoRAs
Collection
LoRAs trained on text adventure data, quality variable • 9 items • Updated
• 2
SpringDragon-NeMo-Instruct-QLoRA-ep1
This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the SpringDragon dataset.
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Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 111
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 1
Framework versions
- PEFT 0.11.1
- Transformers 4.44.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1
Base model
mistralai/Mistral-Nemo-Base-2407
Finetuned
mistralai/Mistral-Nemo-Instruct-2407