metadata
license: llama3
library_name: peft
tags:
- trl
- sft
- unsloth
- generated_from_trainer
base_model: gradientai/Llama-3-8B-Instruct-262k
model-index:
- name: llama3-biotokenpretrain-kaniwa
results: []
llama3-biotokenpretrain-kaniwa
This model is a fine-tuned version of gradientai/Llama-3-8B-Instruct-262k on the None 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 280
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1