metadata
library_name: transformers
tags:
- unsloth
license: llama3
datasets:
- mii-community/ultrafeedback-preferences-translated-ita
Model Card for Model ID
This is llama-3-8b ORPO finetuning for the italian language over the ultrafeedback italian dataset: mii-community/ultrafeedback-preferences-translated-ita
Model Details
Model Description
- Developed by: Diego Giorgini
- Funded by: AI Technologies SRL - www.aitechnologies.it
- Language(s) (NLP): Italian
- License: llama3
- Finetuned from model: unsloth/llama-3-8b-Instruct-bnb-4bit
Training Details
Environment
unsloth: 2024.5
torch: 2.2
Training Data
mii-community/ultrafeedback-preferences-translated-ita is a selection of 55k rows of the ultrafeedback dataset, translated into italian with argotranslate.
Training Procedure
Preprocessing [optional]
No preprocessing has been performed, except for formatting with the llama3 chat_template from unsloth:
tokenizer = get_chat_template(tokenizer, chat_template = "llama-3")
Training Hyperparameters
Training regime: 4bit
PEFT parameters:
Model loading parameters:
max_seq_length = 8192
dtype = None
load_in_4bit = True
r = 64
lora_alpha = 64
lora_dropout = 0
bias = "none"
random_state = 3407
use_rslora = False
loftq_config = None
- ORPOConfig parameters:
max_length = 8192
max_prompt_length = max_seq_length//2
max_completion_length = max_seq_length//2
warmup_ratio = 0.1
weight_decay = 0.01
per_device_train_batch_size = 1
gradient_accumulation_steps = 16
learning_rate=8e-6
beta = 0.1
optim = "paged_adamw_8bit"
lr_scheduler_type = "linear"
num_train_epochs = 1
Speeds, Sizes, Times
16h on an A100-40GB