CyberClassic
Collection
This is a models for telegram bot - https://t.me/cyber_classic_bot • 4 items • Updated • 1
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Roaoch/CyberClassic-Generator")
model = AutoModelForCausalLM.from_pretrained("Roaoch/CyberClassic-Generator", device_map="auto")Quick Links
This text generator is based on OpenAI GPT2 model from HuggingFace Base model went through two step of learning
First - Finetining of base model
On this step model is finetuned on dataset of single sentence from the texts of Dostovesky F.M.
Training parameters:
- Epoch = 10
- Learning Rate = 1e-3
- Optimizer = AdamW
- Scheduler = OneCycleLR
- Training env = PyTorch
Second - RL
On this step finetuned model went trough reinforcement learning pipline with TRL library.
Training parameters:
- Epoch = 30
- Trainer = PPO
- Query texts = first 100 texts from dataset, trimmed by first 3 words
- Reward = score from binary classifier multiplied by 10
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Roaoch/CyberClassic-Generator")