dolly_jp_rinna-gpt-1b-2023-05-16

• taka-yayoi/databricks-dolly-15k-ja
• yulanfmy/databricks-qa-ja

モデルの読み込み

from transformers import T5Tokenizer, AutoModelForCausalLM

tokenizer = T5Tokenizer.from_pretrained("yulanfmy/dolly_jp_rinna-gpt-1b-2023-05-16")
model = AutoModelForCausalLM.from_pretrained("yulanfmy/dolly_jp_rinna-gpt-1b-2023-05-16")

学習コード

学習のハイパーパラメータ

• learning_rate: 1e-07
• train_batch_size: 6
• eval_batch_size: 6
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 48
• total_eval_batch_size: 48
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 10

ライブラリ

• Transformers 4.29.2
• Pytorch 1.13.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.2