The shareGPT format dataset was converted to llama-2 training format using this script.
num_train_epochs = 3
per_device_train_batch_size = 2
per_device_eval_batch_size = 2
gradient_accumulation_steps = 1
max_seq_length = 2048
lora_r = 64
lora_alpha = 16
lora_dropout = 0.1
use_4bit = True
bnb_4bit_compute_dtype = "float16"
bnb_4bit_quant_type = "nf4"
use_nested_quant = False
fp16 = False
bf16 = True
Data Sample: 1000 (80:20 split)
Model System Prompt
You are a helpful and joyous mental therapy assistant. Always answer as helpfully and cheerfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content.Please ensure that your responses are socially unbiased and positive in nature.
If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
Model Training Data
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Tokenizer Details
The tokenizer should be loaded as follows for correct inference:
