530a0c0bf0
* changes from dataset_processes to dataset_num_proc * deprecation message improved --------- Co-authored-by: Juliana Nieto Cárdenas <jnietoca@purdue.edu>
73 lines
2.2 KiB
Python
73 lines
2.2 KiB
Python
"""E2E tests for streaming dataset functionality"""
|
|
|
|
# pylint: disable=duplicate-code
|
|
|
|
import pytest
|
|
|
|
from axolotl.common.datasets import load_datasets
|
|
from axolotl.train import train
|
|
from axolotl.utils.config import normalize_config, validate_config
|
|
from axolotl.utils.dict import DictDefault
|
|
|
|
from .utils import check_model_output_exists, check_tensorboard
|
|
|
|
|
|
class TestStreamingDatasets:
|
|
"""Test case for streaming datasets"""
|
|
|
|
@pytest.mark.parametrize(
|
|
"sample_packing",
|
|
[True, False],
|
|
)
|
|
def test_streaming_dataset(self, temp_dir, sample_packing):
|
|
"""Test streaming datasets"""
|
|
|
|
cfg = DictDefault(
|
|
{
|
|
"base_model": "HuggingFaceTB/SmolLM2-135M",
|
|
"flash_attention": True,
|
|
"sequence_len": 1024,
|
|
"sample_packing": sample_packing,
|
|
"pretrain_multipack_attn": sample_packing,
|
|
"streaming_multipack_buffer_size": 10000,
|
|
"dataset_num_proc": 1,
|
|
"special_tokens": {
|
|
"pad_token": "<|endoftext|>",
|
|
},
|
|
"datasets": [
|
|
{
|
|
"path": "mhenrichsen/alpaca_2k_test",
|
|
"type": "alpaca",
|
|
},
|
|
],
|
|
# Streaming config
|
|
"streaming": True,
|
|
"max_steps": 3,
|
|
"micro_batch_size": 1,
|
|
"gradient_accumulation_steps": 1,
|
|
"val_set_size": 0.0,
|
|
"output_dir": temp_dir,
|
|
"learning_rate": 0.00001,
|
|
"optimizer": "adamw_torch_fused",
|
|
"lr_scheduler": "cosine",
|
|
"bf16": "auto",
|
|
"use_tensorboard": True,
|
|
"save_first_step": False,
|
|
}
|
|
)
|
|
|
|
cfg = validate_config(cfg)
|
|
normalize_config(cfg)
|
|
dataset_meta = load_datasets(cfg=cfg)
|
|
|
|
train(cfg=cfg, dataset_meta=dataset_meta)
|
|
check_model_output_exists(temp_dir, cfg)
|
|
|
|
# Verify training actually happened by checking loss decrease
|
|
check_tensorboard(
|
|
temp_dir + "/runs",
|
|
"train/train_loss",
|
|
3.0,
|
|
"Train Loss (%s) is too high",
|
|
)
|