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[hops] 2024-09-23 16:26:02.103 | INFO | Initializing a parser from /workspace/configs/exp_camembertv2/camembertav2_base_p2_17k_last_layer.yaml
[hops] 2024-09-23 16:26:02.119 | INFO | Generating a FastText model from the treebank
[hops] 2024-09-23 16:26:02.124 | INFO | Training fasttext model
[hops] 2024-09-23 16:26:07.221 | INFO | Start training on cuda:0
[hops] 2024-09-23 16:26:07.224 | WARNING | You're using a RobertaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
[hops] 2024-09-23 16:26:17.032 | INFO | Epoch 0: train loss 3.0198 dev loss 2.5813 dev tag acc 06.78% dev head acc 24.04% dev deprel acc 34.03%
[hops] 2024-09-23 16:26:17.033 | INFO | New best model: head accuracy 24.04% > 0.00%
[hops] 2024-09-23 16:26:28.781 | INFO | Epoch 1: train loss 2.3534 dev loss 1.8865 dev tag acc 16.02% dev head acc 34.55% dev deprel acc 58.81%
[hops] 2024-09-23 16:26:28.782 | INFO | New best model: head accuracy 34.55% > 24.04%
[hops] 2024-09-23 16:26:41.177 | INFO | Epoch 2: train loss 1.8324 dev loss 1.4990 dev tag acc 33.81% dev head acc 51.15% dev deprel acc 68.77%
[hops] 2024-09-23 16:26:41.178 | INFO | New best model: head accuracy 51.15% > 34.55%
[hops] 2024-09-23 16:26:53.654 | INFO | Epoch 3: train loss 1.4805 dev loss 1.2183 dev tag acc 60.65% dev head acc 64.19% dev deprel acc 77.73%
[hops] 2024-09-23 16:26:53.655 | INFO | New best model: head accuracy 64.19% > 51.15%
[hops] 2024-09-23 16:27:05.915 | INFO | Epoch 4: train loss 1.2220 dev loss 1.0230 dev tag acc 64.64% dev head acc 70.79% dev deprel acc 81.67%
[hops] 2024-09-23 16:27:05.916 | INFO | New best model: head accuracy 70.79% > 64.19%
[hops] 2024-09-23 16:27:18.205 | INFO | Epoch 5: train loss 1.0437 dev loss 0.9197 dev tag acc 71.84% dev head acc 73.47% dev deprel acc 83.84%
[hops] 2024-09-23 16:27:18.206 | INFO | New best model: head accuracy 73.47% > 70.79%
[hops] 2024-09-23 16:27:30.479 | INFO | Epoch 6: train loss 0.9163 dev loss 0.8243 dev tag acc 76.67% dev head acc 76.32% dev deprel acc 85.66%
[hops] 2024-09-23 16:27:30.480 | INFO | New best model: head accuracy 76.32% > 73.47%
[hops] 2024-09-23 16:27:43.020 | INFO | Epoch 7: train loss 0.8055 dev loss 0.7605 dev tag acc 77.97% dev head acc 77.86% dev deprel acc 86.18%
[hops] 2024-09-23 16:27:43.021 | INFO | New best model: head accuracy 77.86% > 76.32%
[hops] 2024-09-23 16:27:55.200 | INFO | Epoch 8: train loss 0.7197 dev loss 0.6791 dev tag acc 80.11% dev head acc 80.47% dev deprel acc 87.75%
[hops] 2024-09-23 16:27:55.201 | INFO | New best model: head accuracy 80.47% > 77.86%
[hops] 2024-09-23 16:28:07.158 | INFO | Epoch 9: train loss 0.6403 dev loss 0.6609 dev tag acc 82.00% dev head acc 81.19% dev deprel acc 88.10%
[hops] 2024-09-23 16:28:07.159 | INFO | New best model: head accuracy 81.19% > 80.47%
[hops] 2024-09-23 16:28:20.202 | INFO | Epoch 10: train loss 0.5750 dev loss 0.6266 dev tag acc 86.48% dev head acc 81.53% dev deprel acc 88.46%
[hops] 2024-09-23 16:28:20.203 | INFO | New best model: head accuracy 81.53% > 81.19%
[hops] 2024-09-23 16:28:32.873 | INFO | Epoch 11: train loss 0.5237 dev loss 0.5865 dev tag acc 88.83% dev head acc 82.58% dev deprel acc 88.99%
[hops] 2024-09-23 16:28:32.874 | INFO | New best model: head accuracy 82.58% > 81.53%
[hops] 2024-09-23 16:28:44.747 | INFO | Epoch 12: train loss 0.4711 dev loss 0.6140 dev tag acc 91.18% dev head acc 83.19% dev deprel acc 88.91%
[hops] 2024-09-23 16:28:44.748 | INFO | New best model: head accuracy 83.19% > 82.58%
[hops] 2024-09-23 16:28:57.334 | INFO | Epoch 13: train loss 0.4285 dev loss 0.5683 dev tag acc 92.55% dev head acc 83.75% dev deprel acc 89.79%
[hops] 2024-09-23 16:28:57.335 | INFO | New best model: head accuracy 83.75% > 83.19%
[hops] 2024-09-23 16:29:09.635 | INFO | Epoch 14: train loss 0.3936 dev loss 0.5409 dev tag acc 93.76% dev head acc 84.73% dev deprel acc 90.03%
[hops] 2024-09-23 16:29:09.636 | INFO | New best model: head accuracy 84.73% > 83.75%
[hops] 2024-09-23 16:29:21.930 | INFO | Epoch 15: train loss 0.3572 dev loss 0.5503 dev tag acc 94.38% dev head acc 84.95% dev deprel acc 89.94%
[hops] 2024-09-23 16:29:21.931 | INFO | New best model: head accuracy 84.95% > 84.73%
[hops] 2024-09-23 16:29:34.223 | INFO | Epoch 16: train loss 0.3330 dev loss 0.5319 dev tag acc 95.01% dev head acc 85.68% dev deprel acc 90.38%
[hops] 2024-09-23 16:29:34.224 | INFO | New best model: head accuracy 85.68% > 84.95%
[hops] 2024-09-23 16:29:46.529 | INFO | Epoch 17: train loss 0.3041 dev loss 0.5143 dev tag acc 95.49% dev head acc 85.63% dev deprel acc 90.86%
[hops] 2024-09-23 16:29:56.855 | INFO | Epoch 18: train loss 0.2777 dev loss 0.5152 dev tag acc 95.62% dev head acc 86.44% dev deprel acc 90.64%
[hops] 2024-09-23 16:29:56.856 | INFO | New best model: head accuracy 86.44% > 85.68%
[hops] 2024-09-23 16:30:09.439 | INFO | Epoch 19: train loss 0.2620 dev loss 0.5347 dev tag acc 96.02% dev head acc 86.35% dev deprel acc 90.86%
[hops] 2024-09-23 16:30:20.466 | INFO | Epoch 20: train loss 0.2412 dev loss 0.5382 dev tag acc 96.25% dev head acc 86.75% dev deprel acc 91.09%
[hops] 2024-09-23 16:30:20.467 | INFO | New best model: head accuracy 86.75% > 86.44%
[hops] 2024-09-23 16:30:32.804 | INFO | Epoch 21: train loss 0.2277 dev loss 0.5043 dev tag acc 96.67% dev head acc 87.73% dev deprel acc 91.17%
[hops] 2024-09-23 16:30:32.805 | INFO | New best model: head accuracy 87.73% > 86.75%
[hops] 2024-09-23 16:30:45.266 | INFO | Epoch 22: train loss 0.2125 dev loss 0.5428 dev tag acc 96.52% dev head acc 87.02% dev deprel acc 91.30%
[hops] 2024-09-23 16:30:55.802 | INFO | Epoch 23: train loss 0.1977 dev loss 0.5209 dev tag acc 96.56% dev head acc 87.84% dev deprel acc 91.54%
[hops] 2024-09-23 16:30:55.803 | INFO | New best model: head accuracy 87.84% > 87.73%
[hops] 2024-09-23 16:31:08.582 | INFO | Epoch 24: train loss 0.1878 dev loss 0.5292 dev tag acc 96.89% dev head acc 87.50% dev deprel acc 91.75%
[hops] 2024-09-23 16:31:19.329 | INFO | Epoch 25: train loss 0.1775 dev loss 0.5573 dev tag acc 96.98% dev head acc 87.34% dev deprel acc 91.44%
[hops] 2024-09-23 16:31:30.072 | INFO | Epoch 26: train loss 0.1669 dev loss 0.5689 dev tag acc 97.13% dev head acc 87.85% dev deprel acc 91.70%
[hops] 2024-09-23 16:31:30.073 | INFO | New best model: head accuracy 87.85% > 87.84%
[hops] 2024-09-23 16:31:42.885 | INFO | Epoch 27: train loss 0.1614 dev loss 0.5304 dev tag acc 97.27% dev head acc 87.78% dev deprel acc 91.76%
[hops] 2024-09-23 16:31:53.373 | INFO | Epoch 28: train loss 0.1495 dev loss 0.5681 dev tag acc 97.40% dev head acc 88.12% dev deprel acc 92.03%
[hops] 2024-09-23 16:31:53.374 | INFO | New best model: head accuracy 88.12% > 87.85%
[hops] 2024-09-23 16:32:05.726 | INFO | Epoch 29: train loss 0.1408 dev loss 0.5820 dev tag acc 97.37% dev head acc 88.11% dev deprel acc 92.01%
[hops] 2024-09-23 16:32:16.250 | INFO | Epoch 30: train loss 0.1351 dev loss 0.5901 dev tag acc 97.46% dev head acc 88.22% dev deprel acc 92.02%
[hops] 2024-09-23 16:32:16.251 | INFO | New best model: head accuracy 88.22% > 88.12%
[hops] 2024-09-23 16:32:28.631 | INFO | Epoch 31: train loss 0.1305 dev loss 0.5919 dev tag acc 97.71% dev head acc 88.00% dev deprel acc 92.13%
[hops] 2024-09-23 16:32:39.222 | INFO | Epoch 32: train loss 0.1231 dev loss 0.5793 dev tag acc 97.65% dev head acc 88.31% dev deprel acc 92.27%
[hops] 2024-09-23 16:32:39.223 | INFO | New best model: head accuracy 88.31% > 88.22%
[hops] 2024-09-23 16:32:52.026 | INFO | Epoch 33: train loss 0.1161 dev loss 0.6157 dev tag acc 97.72% dev head acc 88.26% dev deprel acc 92.19%
[hops] 2024-09-23 16:33:02.318 | INFO | Epoch 34: train loss 0.1129 dev loss 0.6230 dev tag acc 97.86% dev head acc 88.45% dev deprel acc 92.34%
[hops] 2024-09-23 16:33:02.319 | INFO | New best model: head accuracy 88.45% > 88.31%
[hops] 2024-09-23 16:33:13.887 | INFO | Epoch 35: train loss 0.1054 dev loss 0.6268 dev tag acc 97.96% dev head acc 88.53% dev deprel acc 92.52%
[hops] 2024-09-23 16:33:13.888 | INFO | New best model: head accuracy 88.53% > 88.45%
[hops] 2024-09-23 16:33:25.702 | INFO | Epoch 36: train loss 0.1031 dev loss 0.6226 dev tag acc 97.94% dev head acc 88.38% dev deprel acc 92.19%
[hops] 2024-09-23 16:33:35.604 | INFO | Epoch 37: train loss 0.0954 dev loss 0.6804 dev tag acc 98.04% dev head acc 88.48% dev deprel acc 92.06%
[hops] 2024-09-23 16:33:45.642 | INFO | Epoch 38: train loss 0.0938 dev loss 0.6665 dev tag acc 98.14% dev head acc 88.63% dev deprel acc 92.31%
[hops] 2024-09-23 16:33:45.642 | INFO | New best model: head accuracy 88.63% > 88.53%
[hops] 2024-09-23 16:33:57.304 | INFO | Epoch 39: train loss 0.0914 dev loss 0.6795 dev tag acc 98.18% dev head acc 88.77% dev deprel acc 92.27%
[hops] 2024-09-23 16:33:57.306 | INFO | New best model: head accuracy 88.77% > 88.63%
[hops] 2024-09-23 16:34:08.777 | INFO | Epoch 40: train loss 0.0891 dev loss 0.6621 dev tag acc 98.14% dev head acc 88.71% dev deprel acc 92.48%
[hops] 2024-09-23 16:34:18.811 | INFO | Epoch 41: train loss 0.0813 dev loss 0.6896 dev tag acc 98.19% dev head acc 88.63% dev deprel acc 92.56%
[hops] 2024-09-23 16:34:29.749 | INFO | Epoch 42: train loss 0.0778 dev loss 0.6912 dev tag acc 98.19% dev head acc 88.61% dev deprel acc 92.53%
[hops] 2024-09-23 16:34:40.303 | INFO | Epoch 43: train loss 0.0752 dev loss 0.7193 dev tag acc 98.22% dev head acc 88.63% dev deprel acc 92.56%
[hops] 2024-09-23 16:34:50.784 | INFO | Epoch 44: train loss 0.0743 dev loss 0.7266 dev tag acc 98.16% dev head acc 88.99% dev deprel acc 92.50%
[hops] 2024-09-23 16:34:50.785 | INFO | New best model: head accuracy 88.99% > 88.77%
[hops] 2024-09-23 16:35:03.591 | INFO | Epoch 45: train loss 0.0730 dev loss 0.6925 dev tag acc 98.30% dev head acc 88.74% dev deprel acc 92.57%
[hops] 2024-09-23 16:35:14.168 | INFO | Epoch 46: train loss 0.0682 dev loss 0.7621 dev tag acc 98.23% dev head acc 88.75% dev deprel acc 92.34%
[hops] 2024-09-23 16:35:25.058 | INFO | Epoch 47: train loss 0.0670 dev loss 0.7358 dev tag acc 98.25% dev head acc 88.82% dev deprel acc 92.38%
[hops] 2024-09-23 16:35:35.506 | INFO | Epoch 48: train loss 0.0646 dev loss 0.7508 dev tag acc 98.24% dev head acc 89.01% dev deprel acc 92.52%
[hops] 2024-09-23 16:35:35.507 | INFO | New best model: head accuracy 89.01% > 88.99%
[hops] 2024-09-23 16:35:47.820 | INFO | Epoch 49: train loss 0.0637 dev loss 0.7604 dev tag acc 98.21% dev head acc 88.84% dev deprel acc 92.43%
[hops] 2024-09-23 16:35:58.797 | INFO | Epoch 50: train loss 0.0592 dev loss 0.7639 dev tag acc 98.24% dev head acc 88.98% dev deprel acc 92.48%
[hops] 2024-09-23 16:36:09.269 | INFO | Epoch 51: train loss 0.0593 dev loss 0.7748 dev tag acc 98.24% dev head acc 88.94% dev deprel acc 92.60%
[hops] 2024-09-23 16:36:19.876 | INFO | Epoch 52: train loss 0.0576 dev loss 0.7841 dev tag acc 98.29% dev head acc 89.05% dev deprel acc 92.40%
[hops] 2024-09-23 16:36:19.877 | INFO | New best model: head accuracy 89.05% > 89.01%
[hops] 2024-09-23 16:36:31.352 | INFO | Epoch 53: train loss 0.0571 dev loss 0.7784 dev tag acc 98.22% dev head acc 89.02% dev deprel acc 92.46%
[hops] 2024-09-23 16:36:40.930 | INFO | Epoch 54: train loss 0.0562 dev loss 0.7698 dev tag acc 98.24% dev head acc 89.15% dev deprel acc 92.45%
[hops] 2024-09-23 16:36:40.931 | INFO | New best model: head accuracy 89.15% > 89.05%
[hops] 2024-09-23 16:36:52.477 | INFO | Epoch 55: train loss 0.0532 dev loss 0.7898 dev tag acc 98.29% dev head acc 89.14% dev deprel acc 92.60%
[hops] 2024-09-23 16:37:02.354 | INFO | Epoch 56: train loss 0.0546 dev loss 0.7842 dev tag acc 98.27% dev head acc 89.13% dev deprel acc 92.63%
[hops] 2024-09-23 16:37:12.220 | INFO | Epoch 57: train loss 0.0498 dev loss 0.7922 dev tag acc 98.30% dev head acc 89.13% dev deprel acc 92.56%
[hops] 2024-09-23 16:37:21.987 | INFO | Epoch 58: train loss 0.0488 dev loss 0.8101 dev tag acc 98.30% dev head acc 89.10% dev deprel acc 92.62%
[hops] 2024-09-23 16:37:31.749 | INFO | Epoch 59: train loss 0.0507 dev loss 0.8213 dev tag acc 98.30% dev head acc 89.12% dev deprel acc 92.61%
[hops] 2024-09-23 16:37:41.569 | INFO | Epoch 60: train loss 0.0483 dev loss 0.8216 dev tag acc 98.32% dev head acc 89.05% dev deprel acc 92.66%
[hops] 2024-09-23 16:37:51.421 | INFO | Epoch 61: train loss 0.0488 dev loss 0.8189 dev tag acc 98.33% dev head acc 89.11% dev deprel acc 92.65%
[hops] 2024-09-23 16:38:01.038 | INFO | Epoch 62: train loss 0.0461 dev loss 0.8247 dev tag acc 98.32% dev head acc 89.09% dev deprel acc 92.65%
[hops] 2024-09-23 16:38:11.711 | INFO | Epoch 63: train loss 0.0449 dev loss 0.8253 dev tag acc 98.33% dev head acc 89.06% dev deprel acc 92.62%
[hops] 2024-09-23 16:38:15.869 | WARNING | You're using a RobertaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
[hops] 2024-09-23 16:38:22.277 | WARNING | You're using a RobertaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
[hops] 2024-09-23 16:38:24.822 | INFO | Metrics for Rhapsodie-camembertav2_base_p2_17k_last_layer+rand_seed=25
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Split UPOS UAS LAS
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Dev 98.24 89.24 85.62
Test 97.77 88.66 84.56
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