12a2dbbc2c
* phi sequence packing * sample packing fixes * fix linting * fix inference and phi e2e tests * update phi example now that sample packing works * wandb import keeps getting moved around
110 lines
3.6 KiB
Python
110 lines
3.6 KiB
Python
"""
|
|
E2E tests for lora llama
|
|
"""
|
|
|
|
import logging
|
|
import os
|
|
import tempfile
|
|
import unittest
|
|
|
|
from axolotl.cli import load_datasets
|
|
from axolotl.common.cli import TrainerCliArgs
|
|
from axolotl.train import train
|
|
from axolotl.utils.config import normalize_config
|
|
from axolotl.utils.dict import DictDefault
|
|
|
|
LOG = logging.getLogger("axolotl.tests.e2e")
|
|
os.environ["WANDB_DISABLED"] = "true"
|
|
|
|
|
|
class TestPhi(unittest.TestCase):
|
|
"""
|
|
Test case for Llama models using LoRA
|
|
"""
|
|
|
|
def test_ft(self):
|
|
# pylint: disable=duplicate-code
|
|
cfg = DictDefault(
|
|
{
|
|
"base_model": "microsoft/phi-1_5",
|
|
"base_model_config": "microsoft/phi-1_5",
|
|
"trust_remote_code": True,
|
|
"model_type": "MixFormerSequentialForCausalLM",
|
|
"tokenizer_type": "AutoTokenizer",
|
|
"sequence_len": 2048,
|
|
"sample_packing": False,
|
|
"load_in_8bit": True,
|
|
"adapter": None,
|
|
"val_set_size": 0.1,
|
|
"special_tokens": {
|
|
"unk_token": "<|endoftext|>",
|
|
"bos_token": "<|endoftext|>",
|
|
"eos_token": "<|endoftext|>",
|
|
"pad_token": "<|endoftext|>",
|
|
},
|
|
"datasets": [
|
|
{
|
|
"path": "mhenrichsen/alpaca_2k_test",
|
|
"type": "alpaca",
|
|
},
|
|
],
|
|
"dataset_shard_num": 10,
|
|
"dataset_shard_idx": 0,
|
|
"num_epochs": 1,
|
|
"micro_batch_size": 1,
|
|
"gradient_accumulation_steps": 1,
|
|
"output_dir": tempfile.mkdtemp(),
|
|
"learning_rate": 0.00001,
|
|
"optimizer": "adamw_torch",
|
|
"lr_scheduler": "cosine",
|
|
}
|
|
)
|
|
normalize_config(cfg)
|
|
cli_args = TrainerCliArgs()
|
|
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
|
|
|
|
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
|
|
|
|
def test_ft_packed(self):
|
|
# pylint: disable=duplicate-code
|
|
cfg = DictDefault(
|
|
{
|
|
"base_model": "microsoft/phi-1_5",
|
|
"base_model_config": "microsoft/phi-1_5",
|
|
"trust_remote_code": True,
|
|
"model_type": "MixFormerSequentialForCausalLM",
|
|
"tokenizer_type": "AutoTokenizer",
|
|
"sequence_len": 2048,
|
|
"sample_packing": True,
|
|
"load_in_8bit": True,
|
|
"adapter": None,
|
|
"val_set_size": 0.1,
|
|
"special_tokens": {
|
|
"unk_token": "<|endoftext|>",
|
|
"bos_token": "<|endoftext|>",
|
|
"eos_token": "<|endoftext|>",
|
|
"pad_token": "<|endoftext|>",
|
|
},
|
|
"datasets": [
|
|
{
|
|
"path": "mhenrichsen/alpaca_2k_test",
|
|
"type": "alpaca",
|
|
},
|
|
],
|
|
"dataset_shard_num": 10,
|
|
"dataset_shard_idx": 0,
|
|
"num_epochs": 1,
|
|
"micro_batch_size": 1,
|
|
"gradient_accumulation_steps": 1,
|
|
"output_dir": tempfile.mkdtemp(),
|
|
"learning_rate": 0.00001,
|
|
"optimizer": "adamw_torch",
|
|
"lr_scheduler": "cosine",
|
|
}
|
|
)
|
|
normalize_config(cfg)
|
|
cli_args = TrainerCliArgs()
|
|
dataset_meta = load_datasets(cfg=cfg, cli_args=cli_args)
|
|
|
|
train(cfg=cfg, cli_args=cli_args, dataset_meta=dataset_meta)
|