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‎docs/notebooks/momentum.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 7,
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"id": "794004c5-588c-4590-ae96-c6d9e52109ff",
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"metadata": {},
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"outputs": [],
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"GPU available: True (mps), used: True\n",
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"TPU available: False, using: 0 TPU cores\n",
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"IPU available: False, using: 0 IPUs\n",
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"HPU available: False, using: 0 HPUs\n",
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"Running in `fast_dev_run` mode: will run the requested loop using 10 batch(es). Logging and checkpointing is suppressed.\n"
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"HPU available: False, using: 0 HPUs\n"
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]
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 0: 100%|██████████| 10/10 [06:00<00:00, 0.03it/s, loss_step=242.0, val_loss_step=260.0, cindex_step=0.585, val_loss_epoch=260.0, cindex_epoch=0.579, loss_epoch=265.0]"
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"Epoch 1: 100%|██████████| 11/11 [02:19<00:00, 0.08it/s, loss_step=226.0, val_loss_step=257.0, cindex_step=0.672, val_loss_epoch=256.0, cindex_epoch=0.676, loss_epoch=234.0]"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"`Trainer.fit` stopped: `max_steps=10` reached.\n"
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"`Trainer.fit` stopped: `max_epochs=2` reached.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 0: 100%|██████████| 10/10 [06:00<00:00, 0.03it/s, loss_step=242.0, val_loss_step=260.0, cindex_step=0.585, val_loss_epoch=260.0, cindex_epoch=0.579, loss_epoch=265.0]\n"
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"Epoch 1: 100%|██████████| 11/11 [02:19<00:00, 0.08it/s, loss_step=226.0, val_loss_step=257.0, cindex_step=0.672, val_loss_epoch=256.0, cindex_epoch=0.676, loss_epoch=234.0]\n"
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Testing DataLoader 0: 100%|██████████| 10/10 [03:09<00:00, 0.05it/s]\n",
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"Testing DataLoader 0: 100%|██████████| 20/20 [02:14<00:00, 0.15it/s]\n",
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"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
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" Test metric DataLoader 0\n",
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"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
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" cindex_epoch 0.5841928124427795\n",
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" val_loss_epoch -90.17676544189453\n",
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" cindex_epoch 0.6842407584190369\n",
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" val_loss_epoch -70.17123413085938\n",
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"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
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{
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"data": {
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"text/plain": [
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"[{'val_loss_epoch': -90.17676544189453, 'cindex_epoch': 0.5841928124427795}]"
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"[{'val_loss_epoch': -70.17123413085938, 'cindex_epoch': 0.6842407584190369}]"
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]
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},
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"execution_count": 15,
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"TPU available: False, using: 0 TPU cores\n",
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"IPU available: False, using: 0 IPUs\n",
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"HPU available: False, using: 0 HPUs\n",
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"Running in `fast_dev_run` mode: will run the requested loop using 10 batch(es). Logging and checkpointing is suppressed.\n",
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"\n",
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" | Name | Type | Params\n",
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"-----------------------------------\n",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 0: 100%|██████████| 10/10 [01:27<00:00, 0.11it/s, loss_step=65.60, val_loss_step=67.00, cindex_step=0.524, val_loss_epoch=66.40, cindex_epoch=0.519, loss_epoch=52.70]"
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"Epoch 1: 100%|██████████| 110/110 [04:34<00:00, 0.40it/s, loss_step=60.70, val_loss_step=60.50, cindex_step=0.736, val_loss_epoch=59.90, cindex_epoch=0.805, loss_epoch=62.30]"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"`Trainer.fit` stopped: `max_steps=10` reached.\n"
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"`Trainer.fit` stopped: `max_epochs=2` reached.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Epoch 0: 100%|██████████| 10/10 [01:27<00:00, 0.11it/s, loss_step=65.60, val_loss_step=67.00, cindex_step=0.524, val_loss_epoch=66.40, cindex_epoch=0.519, loss_epoch=52.70]\n"
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"Epoch 1: 100%|██████████| 110/110 [04:34<00:00, 0.40it/s, loss_step=60.70, val_loss_step=60.50, cindex_step=0.736, val_loss_epoch=59.90, cindex_epoch=0.805, loss_epoch=62.30]\n"
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Testing DataLoader 0: 100%|██████████| 10/10 [00:29<00:00, 0.34it/s]\n",
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"Testing DataLoader 0: 100%|██████████| 200/200 [04:26<00:00, 0.75it/s]\n",
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"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
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" Test metric DataLoader 0\n",
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"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
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" cindex_epoch 0.521008312702179\n",
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" val_loss_epoch 66.2925796508789\n",
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" cindex_epoch 0.8023210763931274\n",
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" val_loss_epoch 91.81409454345703\n",
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"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"[{'val_loss_epoch': 66.2925796508789, 'cindex_epoch': 0.521008312702179}]"
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"[{'val_loss_epoch': 91.81409454345703, 'cindex_epoch': 0.8023210763931274}]"
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]
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},
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"execution_count": 18,
@@ -581,9 +579,9 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Cindex (regular) = 0.5925866365432739\n",
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"Cindex (momentum) = 0.5304314494132996\n",
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"Compare (p-value) = 0.9395550489425659\n"
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"Cindex (regular) = 0.7037245035171509\n",
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"Cindex (momentum) = 0.7813159823417664\n",
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"Compare (p-value) = 0.0004994003102183342\n"
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]
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}
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],

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