metadata
base_model: LeoLM/leo-hessianai-13b
tags:
- generated_from_trainer
model-index:
- name: leoLM-13b-sft-lora-oa
results: []
leoLM-13b-sft-lora-oa
This model is a fine-tuned version of LeoLM/leo-hessianai-13b on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.14.1