cpt core 4
Browse files
scripts/cpt_core_model_4.py
CHANGED
@@ -4,6 +4,7 @@ from unsloth import FastLanguageModel
|
|
4 |
import torch
|
5 |
from transformers import AutoTokenizer
|
6 |
|
|
|
7 |
os.environ['WANDB_PROJECT'] = 'tangled-alpha-0.9-core'
|
8 |
run_name = 'cpt-core-4'
|
9 |
|
@@ -15,6 +16,7 @@ load_in_4bit = False
|
|
15 |
model_name = '../out/pretrain-core-3/hf'
|
16 |
output_dir = '../out/cpt-core-4'
|
17 |
|
|
|
18 |
#
|
19 |
# model
|
20 |
#
|
@@ -53,6 +55,7 @@ model = FastLanguageModel.get_peft_model(
|
|
53 |
)
|
54 |
# print(f'{model=}')
|
55 |
|
|
|
56 |
#
|
57 |
# dataset
|
58 |
#
|
@@ -76,6 +79,7 @@ def unlsoth_generator():
|
|
76 |
train_dataset = Dataset.from_generator(unlsoth_generator)
|
77 |
dataset = train_dataset.train_test_split(test_size=0.01)
|
78 |
|
|
|
79 |
#
|
80 |
# trainer
|
81 |
#
|
|
|
4 |
import torch
|
5 |
from transformers import AutoTokenizer
|
6 |
|
7 |
+
|
8 |
os.environ['WANDB_PROJECT'] = 'tangled-alpha-0.9-core'
|
9 |
run_name = 'cpt-core-4'
|
10 |
|
|
|
16 |
model_name = '../out/pretrain-core-3/hf'
|
17 |
output_dir = '../out/cpt-core-4'
|
18 |
|
19 |
+
|
20 |
#
|
21 |
# model
|
22 |
#
|
|
|
55 |
)
|
56 |
# print(f'{model=}')
|
57 |
|
58 |
+
|
59 |
#
|
60 |
# dataset
|
61 |
#
|
|
|
79 |
train_dataset = Dataset.from_generator(unlsoth_generator)
|
80 |
dataset = train_dataset.train_test_split(test_size=0.01)
|
81 |
|
82 |
+
|
83 |
#
|
84 |
# trainer
|
85 |
#
|