heegyu's picture
Create README.md
a729d11
metadata
datasets:
  - heegyu/wizard_vicuna_70k_v2

Hyperparameters

  • 3 epoch
  • 1e-4 -> 1e-5 with cosine lr decay
  • batch size 128
  • max sequence length 2048
  • AdamW(weigth decay=0.01, b1=0.9, b2=0.99, grad_clip=1.0)
  • no warmup
  • BF16
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("heegyu/WizardVicuna-pythia-1.4b-deduped")
model = AutoModelForCausalLM.from_pretrained("heegyu/WizardVicuna-pythia-1.4b-deduped")

inputs = tokenizer(["Human: Hi\n\nAssistant: "], return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=16)
print(tokenizer.batch_decode(outputs, skip_special_tokens=False))

output: ['Human: Hi\n\nAssistant: Hello! How can I assist you today?<|endoftext|>']