metadata
library_name: peft
license: other
base_model: /workspace/Llama-3.1-70B
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: r2_s1_lr1e-5
results: []
r2_s1_lr1e-5
This model is a fine-tuned version of /workspace/Llama-3.1-70B on the Millfield 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10.0
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.55.0
- Pytorch 2.4.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1