Gorani Model Card

์†Œ๊ฐœ (Introduce)

์ด ๋ชจ๋ธ์€ ๋ฒˆ์—ญ์„ ์œ„ํ•œ ๋ชจ๋ธ์ž…๋‹ˆ๋‹ค. ํ•œ๊ตญ ๊ณ ์œ ์–ด์˜ ์ •ํ™•ํ•œ ๋ฒˆ์—ญ์„ ์ƒ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ํ•œ๊ตญ์–ด, ์˜์–ด, ์ผ๋ณธ์–ด์˜ ์–ธ์–ด ๋ฐ์ดํ„ฐ๋ฅผ ํ˜ผํ•ฉํ•˜์—ฌ unsloth/gemma-2-9b-it-bnb-4bit์„ ํ•™์Šต์‹œ์ผœ ์ƒ์„ฑ๋œ gorani-9B ์ž…๋‹ˆ๋‹ค.
gorani๋Š” ํ˜„์žฌ ํ•œ๊ตญ์–ด, ์˜์–ด, ์ผ๋ณธ์–ด๋งŒ ๋ฒˆ์—ญ์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.

๋ชจ๋ธ ์ •๋ณด

  • ๊ฐœ๋ฐœ์ž: Bring2It2On
  • ๋ชจ๋ธ ์œ ํ˜•: Gemma๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” 9B ๋งค๊ฐœ๋ณ€์ˆ˜ ๋ชจ๋ธ์ธ gorani-9B
  • ์ง€์› ์–ธ์–ด: ํ•œ๊ตญ์–ด, ์˜์–ด, ์ผ๋ณธ์–ด
  • ๋ผ์ด์„ผ์Šค: Gemma

Training Hyperparameters

  • per_device_train_batch_size: 8
  • gradient_accumulation_steps: 1
  • warmup_steps: 5
  • learning_rate: 2e-4
  • fp16: not is_bfloat16_supported()
  • num_train_epochs: 3
  • weight_decay: 0.01
  • lr_scheduler_type: "linear"

๐Ÿ“Š ๋ฒˆ์—ญ ํ‰๊ฐ€ ๊ฒฐ๊ณผ ๋น„๊ต

ํ‰๊ฐ€ ์ง€ํ‘œ gemma-2-9B Gorani
BERTScore (Precision) 0.8152 0.9232
BERTScore (Recall) 0.8010 0.9266
BERTScore (F1 Score) 0.8077 0.9246
COMET Score 0.8180 0.8389

ํ•™์Šต ๋ฐ์ดํ„ฐ

๋ฐ์ดํ„ฐ์…‹ ๋งํฌ

ํ•™์Šต ์„ฑ๋Šฅ ๋น„๊ต

์ ์ˆ˜ ๋น„๊ต ๊ทธ๋ž˜ํ”„

Training Results

Training Loss ๊ทธ๋ž˜ํ”„- ์Šคํƒญ์ˆ˜์™€ ํ•™์Šต ์ง€ํ‘œ ๊ทธ๋ž˜ํ”„

Downloads last month
2
Safetensors
Model size
10B params
Tensor type
F32
ยท
F16
ยท
U8
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Bring2It2On/gorani-9B-4bit

Quantized
(70)
this model

Dataset used to train Bring2It2On/gorani-9B-4bit