phi-2-FCRL-v0.1
This model is a fine-tuned version of microsoft/phi-2 on vicgalle/alpaca-gpt4, nRuaif/OpenOrca-GPT3.5, sahil2801/CodeAlpaca-20k
Quick start
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("npvinHnivqn/phi-2-FCRL-v0.1", trust_remote_code=True, torch_dtype=torch.float32)
tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2-FCRL-v0.1", trust_remote_code=True)
inputs = tokenizer('''<SYSTEM>: You are a very good and helpful chatbot, you can answer almost every questions. <|USER|>: Write a short story about a curious cat <|BOT|>:''', return_tensors="pt", return_attention_mask=False)
outputs = model.generate(**inputs, max_length=512)
text = tokenizer.batch_decode(outputs)[0]
print(text)
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Framework versions
- PEFT 0.7.1
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
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