marianbasti/Llama-2-13b-alpaca-spanish-LoRA

Llama 2-13b-alpaca-spanish LoRA

This is a LoRA for Llama 2 13B trained on a translated alpaca dataset on an attempt to improve spanish performance of the Llama-2 foundation model with a conversational focus.

Base model used was The Bloke's Llama-2-13B-fp16 trained in 4bit precision with an added padding token.

Important INFO

The original Llama 2 model does not have a padding token, this came to be restrictive when training. To address this, I added a padding token to the tokenizer associated with the model.

from transformers import LlamaTokenizer, LlamaForCausalLM

model_name = 'TheBloke/Llama-2-13B-fp16'

model = LlamaForCausalLM.from_pretrained(model_name).half()
tokenizer = LlamaTokenizer.from_pretrained(model_name)

# Add padding token
tokenizer.add_tokens(['<PAD>'])
tokenizer.pad_token = '<PAD>'

# Resizing the model
model.resize_token_embeddings(len(tokenizer))

padded_model_name = 'Llama-2-13B-fp16-padded'

# Save
tokenizer.save_pretrained(padded_model_name)
model.save_pretrained(padded_model_name)

Training parameteres
LoRA scale	2
Epochs	0.75
Learning Rate	2e-5
Warmup Steps	100
Loss	1.07