metadata
tags:
- generated_from_trainer
model-index:
- name: airo-lora-out
results: []
datasets:
- unalignment/spicy-3.1
LoneStriker/Yi-34B-Spicyboros-3.1-LoRA
This model was fine-tuned on Spicyboros-3.1 dataset on top of the Yi-34B-Llama model.
Model description
Base model Yi-34B-Llama
Intended uses & limitations
See Yi license
Training and evaluation data
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1