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merged 1 commit into from
Apr 7, 2025
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Ensure transformers is up to date #1479

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1 change: 1 addition & 0 deletions kaggle_requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -130,6 +130,7 @@ torchao
torchinfo
torchmetrics
torchtune
transformers>=4.51.0
triton
tsfresh
vtk
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5 changes: 2 additions & 3 deletions tests/test_transformers.py
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@@ -1,7 +1,7 @@
import unittest

import torch
from transformers import AdamW
import torch.optim as optim
import transformers.pipelines # verify this import works


Expand All @@ -10,13 +10,12 @@ def assertListAlmostEqual(self, list1, list2, tol):
self.assertEqual(len(list1), len(list2))
for a, b in zip(list1, list2):
self.assertAlmostEqual(a, b, delta=tol)

def test_adam_w(self):
w = torch.tensor([0.1, -0.2, -0.1], requires_grad=True)
target = torch.tensor([0.4, 0.2, -0.5])
criterion = torch.nn.MSELoss()
# No warmup, constant schedule, no gradient clipping
optimizer = AdamW(params=[w], lr=2e-1, weight_decay=0.0)
optimizer = optim.AdamW(params=[w], lr=2e-1, weight_decay=0.0)
for _ in range(100):
loss = criterion(w, target)
loss.backward()
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