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NeoXArgs.configure_distributed_args() using world size: 64 and model-parallel size: 1
> building HFTokenizer tokenizer ...
> padded vocab (size: 50277) with 27 dummy tokens (new size: 50304)
> setting tensorboard ...
> initializing torch distributed ...
> initializing model parallel with size 1
MPU DP: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
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> setting random seeds to 1234 ...
building GPT2 model ...
SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None
Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pipe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=46, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63}
stage=0 layers=29
0: EmbeddingPipe
1: _pre_transformer_block
2: ParallelFlownetLayerPipe
3: ParallelFlownetLayerPipe
4: ParallelFlownetLayerPipe
5: ParallelFlownetLayerPipe
6: ParallelFlownetLayerPipe
7: ParallelFlownetLayerPipe
8: ParallelFlownetLayerPipe
9: ParallelFlownetLayerPipe
10: ParallelFlownetLayerPipe
11: ParallelFlownetLayerPipe
12: ParallelFlownetLayerPipe
13: ParallelFlownetLayerPipe
14: ParallelFlownetLayerPipe
15: ParallelFlownetLayerPipe
16: ParallelFlownetLayerPipe
17: ParallelFlownetLayerPipe
18: ParallelFlownetLayerPipe
19: ParallelFlownetLayerPipe
20: ParallelFlownetLayerPipe
21: ParallelFlownetLayerPipe
22: ParallelFlownetLayerPipe
23: ParallelFlownetLayerPipe
24: ParallelFlownetLayerPipe
25: ParallelFlownetLayerPipe
26: _post_transformer_block
27: NormPipe
28: EmbeddingPipe
loss: partial
Configuring Optimizer type: Adam with params: {'lr': 0.0006, 'betas': [0.9, 0.95], 'eps': 1e-08}
> learning rate decay style: cosine
DeepSpeed is enabled.
> number of parameters on model parallel rank 0: 454166528
> total params: 454,166,528
Unable to load checkpoint.
Loading checkpoint and starting from iteration 0
> building train, validation, and test datasets ...
reading sizes...
reading pointers...
reading document index...
creating numpy buffer of mmap...
creating memory view of numpy buffer...
> dataset split:
train:
document indices in [0, 130154259) total of 130154259 documents
validation:
document indices in [130154259, 134183803) total of 4029544 documents
test:
document indices in [134183803, 134318121) total of 134318 documents
> loading doc-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_train_indexmap_146432000ns_2048sl_1234s_doc_idx.npy
> loading sample-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_train_indexmap_146432000ns_2048sl_1234s_sample_idx.npy
> loading shuffle-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_train_indexmap_146432000ns_2048sl_1234s_shuffle_idx.npy
loaded indexed file in 0.148 seconds
total number of samples: 195915016
total number of epochs: 2
> loading doc-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_valid_indexmap_2969600ns_2048sl_1234s_doc_idx.npy
> loading sample-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_valid_indexmap_2969600ns_2048sl_1234s_sample_idx.npy
> loading shuffle-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_valid_indexmap_2969600ns_2048sl_1234s_shuffle_idx.npy
loaded indexed file in 0.264 seconds
total number of samples: 3097460
total number of epochs: 1
> loading doc-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_test_indexmap_102400ns_2048sl_1234s_doc_idx.npy
> loading sample-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_test_indexmap_102400ns_2048sl_1234s_sample_idx.npy
> loading shuffle-idx mapping from /u/wangh/workspace/dataset/language_dataset/pile/pile_0.87_deduped_text_document_test_indexmap_102400ns_2048sl_1234s_shuffle_idx.npy
loaded indexed file in 0.175 seconds
total number of samples: 102462
total number of epochs: 1
setting training data start iteration to 0
setting validation data start iteration to 0
done with setups ...
time (ms) | model and optimizer: 2883.87 | train/valid/test data iterators: 3989.32
training ...
WARNING: Deleting old checkpoints:
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WARNING: Deleting old checkpoints:
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WARNING: Deleting old checkpoints:
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WARNING: Deleting old checkpoints:
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samples/sec: 639.316 | iteration 500/ 143000 | elapsed time per iteration (ms): 1601.7 | learning rate: 2.098E-04 | approx flops per GPU: 72.2TFLOPS | lm_loss: 6.487831E+00 | loss scale: 4096.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
after 500 iterations memory (MB) | allocated: 1832.7998046875 | max allocated: 12938.84716796875 | reserved: 14128.0 | max reserved: 14128.0
time (ms) | forward: 348.95 | backward: 1186.39 | backward-backward: 1186.35 | backward-allreduce: 0.00 | optimizer: 42.13 | batch generator: 3.73
WARNING: Deleting old checkpoints:
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WARNING: Deleting old checkpoints:
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samples/sec: 650.796 | iteration 1000/ 143000 | elapsed time per iteration (ms): 1573.5 | learning rate: 4.196E-04 | approx flops per GPU: 73.5TFLOPS | lm_loss: 3.860402E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.28 | backward: 1184.07 | backward-backward: 1184.03 | backward-allreduce: 0.00 | optimizer: 42.12 | batch generator: 2.91
WARNING: Deleting old checkpoints:
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samples/sec: 651.925 | iteration 1500/ 143000 | elapsed time per iteration (ms): 1570.7 | learning rate: 6.000E-04 | approx flops per GPU: 73.6TFLOPS | lm_loss: 3.226961E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 340.64 | backward: 1184.17 | backward-backward: 1184.13 | backward-allreduce: 0.00 | optimizer: 42.32 | batch generator: 2.41
WARNING: Deleting old checkpoints:
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samples/sec: 652.116 | iteration 2000/ 143000 | elapsed time per iteration (ms): 1570.3 | learning rate: 6.000E-04 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.954752E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 340.85 | backward: 1183.66 | backward-backward: 1183.62 | backward-allreduce: 0.00 | optimizer: 42.14 | batch generator: 2.45
WARNING: Deleting old checkpoints:
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samples/sec: 652.036 | iteration 2500/ 143000 | elapsed time per iteration (ms): 1570.5 | learning rate: 5.999E-04 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.808394E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.55 | backward: 1183.16 | backward-backward: 1183.12 | backward-allreduce: 0.00 | optimizer: 42.29 | batch generator: 3.18
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samples/sec: 651.111 | iteration 3000/ 143000 | elapsed time per iteration (ms): 1572.7 | learning rate: 5.998E-04 | approx flops per GPU: 73.6TFLOPS | lm_loss: 2.719992E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.37 | backward: 1184.12 | backward-backward: 1184.08 | backward-allreduce: 0.00 | optimizer: 43.55 | batch generator: 2.90
WARNING: Deleting old checkpoints:
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samples/sec: 651.980 | iteration 3500/ 143000 | elapsed time per iteration (ms): 1570.6 | learning rate: 5.997E-04 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.664136E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 340.91 | backward: 1183.67 | backward-backward: 1183.64 | backward-allreduce: 0.00 | optimizer: 42.46 | batch generator: 2.49
WARNING: Deleting old checkpoints:
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samples/sec: 652.045 | iteration 4000/ 143000 | elapsed time per iteration (ms): 1570.4 | learning rate: 5.996E-04 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.622160E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 342.57 | backward: 1181.95 | backward-backward: 1181.91 | backward-allreduce: 0.00 | optimizer: 42.21 | batch generator: 3.99
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time (ms) | forward: 346.53 | backward: 1184.72 | backward-backward: 1184.68 | backward-allreduce: 0.00 | optimizer: 42.36 | batch generator: 8.20
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samples/sec: 652.073 | iteration 5000/ 143000 | elapsed time per iteration (ms): 1570.4 | learning rate: 5.992E-04 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.564515E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 342.04 | backward: 1182.55 | backward-backward: 1182.51 | backward-allreduce: 0.00 | optimizer: 42.24 | batch generator: 3.61
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validation results at iteration 5000 | lm_loss value: 2.504278E+00 | lm_loss_ppl value: 1.223472E+01 |
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samples/sec: 621.948 | iteration 5500/ 143000 | elapsed time per iteration (ms): 1646.4 | learning rate: 5.989E-04 | approx flops per GPU: 70.3TFLOPS | lm_loss: 2.543121E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 342.24 | backward: 1186.24 | backward-backward: 1186.20 | backward-allreduce: 0.00 | optimizer: 42.20 | batch generator: 3.97
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samples/sec: 652.270 | iteration 6000/ 143000 | elapsed time per iteration (ms): 1569.9 | learning rate: 5.986E-04 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.524748E+00 | loss scale: 131072.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.77 | backward: 1181.97 | backward-backward: 1181.93 | backward-allreduce: 0.00 | optimizer: 42.19 | batch generator: 3.35
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time (ms) | forward: 341.86 | backward: 1181.48 | backward-backward: 1181.44 | backward-allreduce: 0.00 | optimizer: 42.07 | batch generator: 3.48
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time (ms) | forward: 341.59 | backward: 1181.76 | backward-backward: 1181.72 | backward-allreduce: 0.00 | optimizer: 42.14 | batch generator: 3.26
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time (ms) | forward: 342.14 | backward: 1181.28 | backward-backward: 1181.24 | backward-allreduce: 0.00 | optimizer: 42.21 | batch generator: 3.65
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time (ms) | forward: 341.95 | backward: 1185.06 | backward-backward: 1185.02 | backward-allreduce: 0.00 | optimizer: 42.15 | batch generator: 3.48
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time (ms) | forward: 342.07 | backward: 1181.14 | backward-backward: 1181.11 | backward-allreduce: 0.00 | optimizer: 42.15 | batch generator: 3.53
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time (ms) | forward: 342.07 | backward: 1184.35 | backward-backward: 1184.31 | backward-allreduce: 0.00 | optimizer: 42.15 | batch generator: 3.55
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time (ms) | forward: 341.98 | backward: 1181.03 | backward-backward: 1180.99 | backward-allreduce: 0.00 | optimizer: 42.24 | batch generator: 3.54
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samples/sec: 649.101 | iteration 10000/ 143000 | elapsed time per iteration (ms): 1577.6 | learning rate: 5.951E-04 | approx flops per GPU: 73.3TFLOPS | lm_loss: 2.437648E+00 | loss scale: 65536.0 | number of skipped iterations: 2 | number of nan iterations: 0 |
time (ms) | forward: 342.23 | backward: 1189.53 | backward-backward: 1189.49 | backward-allreduce: 0.00 | optimizer: 42.36 | batch generator: 3.75
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validation results at iteration 10000 | lm_loss value: 2.385643E+00 | lm_loss_ppl value: 1.086604E+01 |
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samples/sec: 621.113 | iteration 10500/ 143000 | elapsed time per iteration (ms): 1648.7 | learning rate: 5.946E-04 | approx flops per GPU: 70.2TFLOPS | lm_loss: 2.431769E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 342.16 | backward: 1188.63 | backward-backward: 1188.59 | backward-allreduce: 0.00 | optimizer: 42.19 | batch generator: 4.09
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samples/sec: 649.277 | iteration 11000/ 143000 | elapsed time per iteration (ms): 1577.1 | learning rate: 5.939E-04 | approx flops per GPU: 73.3TFLOPS | lm_loss: 2.425712E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 341.78 | backward: 1189.52 | backward-backward: 1189.48 | backward-allreduce: 0.00 | optimizer: 42.09 | batch generator: 3.45
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time (ms) | forward: 341.84 | backward: 1181.15 | backward-backward: 1181.11 | backward-allreduce: 0.00 | optimizer: 42.17 | batch generator: 3.50
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time (ms) | forward: 340.73 | backward: 1185.96 | backward-backward: 1185.92 | backward-allreduce: 0.00 | optimizer: 42.16 | batch generator: 2.54
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time (ms) | forward: 341.48 | backward: 1181.62 | backward-backward: 1181.58 | backward-allreduce: 0.00 | optimizer: 42.27 | batch generator: 2.86
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time (ms) | forward: 341.07 | backward: 1181.92 | backward-backward: 1181.89 | backward-allreduce: 0.00 | optimizer: 42.21 | batch generator: 2.74
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time (ms) | forward: 341.03 | backward: 1182.03 | backward-backward: 1181.99 | backward-allreduce: 0.00 | optimizer: 41.97 | batch generator: 2.72
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time (ms) | forward: 341.34 | backward: 1181.55 | backward-backward: 1181.51 | backward-allreduce: 0.00 | optimizer: 42.14 | batch generator: 3.03
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time (ms) | forward: 341.28 | backward: 1181.69 | backward-backward: 1181.65 | backward-allreduce: 0.00 | optimizer: 42.12 | batch generator: 2.87
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samples/sec: 652.933 | iteration 15000/ 143000 | elapsed time per iteration (ms): 1568.3 | learning rate: 5.879E-04 | approx flops per GPU: 73.8TFLOPS | lm_loss: 2.388972E+00 | loss scale: 16384.0 | number of skipped iterations: 3 | number of nan iterations: 0 |
time (ms) | forward: 340.87 | backward: 1182.01 | backward-backward: 1181.97 | backward-allreduce: 0.00 | optimizer: 41.91 | batch generator: 2.65
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validation results at iteration 15000 | lm_loss value: 2.333726E+00 | lm_loss_ppl value: 1.031631E+01 |
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samples/sec: 624.238 | iteration 15500/ 143000 | elapsed time per iteration (ms): 1640.4 | learning rate: 5.870E-04 | approx flops per GPU: 70.5TFLOPS | lm_loss: 2.383346E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 340.68 | backward: 1182.22 | backward-backward: 1182.19 | backward-allreduce: 0.00 | optimizer: 42.14 | batch generator: 2.66
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time (ms) | forward: 340.78 | backward: 1182.22 | backward-backward: 1182.19 | backward-allreduce: 0.00 | optimizer: 42.14 | batch generator: 2.37
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time (ms) | forward: 341.05 | backward: 1181.74 | backward-backward: 1181.70 | backward-allreduce: 0.00 | optimizer: 42.18 | batch generator: 2.59
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time (ms) | forward: 340.83 | backward: 1181.78 | backward-backward: 1181.74 | backward-allreduce: 0.00 | optimizer: 42.16 | batch generator: 2.43
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time (ms) | forward: 340.65 | backward: 1181.87 | backward-backward: 1181.83 | backward-allreduce: 0.00 | optimizer: 42.13 | batch generator: 2.39
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time (ms) | forward: 340.69 | backward: 1181.92 | backward-backward: 1181.88 | backward-allreduce: 0.00 | optimizer: 41.98 | batch generator: 2.35
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time (ms) | forward: 340.96 | backward: 1181.59 | backward-backward: 1181.55 | backward-allreduce: 0.00 | optimizer: 42.11 | batch generator: 2.66
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time (ms) | forward: 341.17 | backward: 1181.43 | backward-backward: 1181.39 | backward-allreduce: 0.00 | optimizer: 42.09 | batch generator: 2.65
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time (ms) | forward: 341.52 | backward: 1181.15 | backward-backward: 1181.11 | backward-allreduce: 0.00 | optimizer: 42.17 | batch generator: 2.54
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time (ms) | forward: 342.25 | backward: 1180.59 | backward-backward: 1180.54 | backward-allreduce: 0.00 | optimizer: 42.06 | batch generator: 2.93
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validation results at iteration 20000 | lm_loss value: 2.306157E+00 | lm_loss_ppl value: 1.003578E+01 |
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samples/sec: 624.426 | iteration 20500/ 143000 | elapsed time per iteration (ms): 1639.9 | learning rate: 5.762E-04 | approx flops per GPU: 70.5TFLOPS | lm_loss: 2.361061E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 341.19 | backward: 1181.38 | backward-backward: 1181.35 | backward-allreduce: 0.00 | optimizer: 42.03 | batch generator: 3.26
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time (ms) | forward: 341.51 | backward: 1181.47 | backward-backward: 1181.43 | backward-allreduce: 0.00 | optimizer: 42.11 | batch generator: 2.87
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time (ms) | forward: 340.89 | backward: 1185.93 | backward-backward: 1185.89 | backward-allreduce: 0.00 | optimizer: 42.15 | batch generator: 2.48
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time (ms) | forward: 340.64 | backward: 1182.19 | backward-backward: 1182.15 | backward-allreduce: 0.00 | optimizer: 42.18 | batch generator: 2.17
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time (ms) | forward: 340.97 | backward: 1181.80 | backward-backward: 1181.76 | backward-allreduce: 0.00 | optimizer: 42.16 | batch generator: 2.42
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time (ms) | forward: 341.27 | backward: 1181.43 | backward-backward: 1181.39 | backward-allreduce: 0.00 | optimizer: 42.14 | batch generator: 2.88
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time (ms) | forward: 341.63 | backward: 1181.16 | backward-backward: 1181.12 | backward-allreduce: 0.00 | optimizer: 42.08 | batch generator: 3.28
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time (ms) | forward: 341.25 | backward: 1185.26 | backward-backward: 1185.23 | backward-allreduce: 0.00 | optimizer: 42.21 | batch generator: 2.77
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validation results at iteration 25000 | lm_loss value: 2.291977E+00 | lm_loss_ppl value: 9.894479E+00 |
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samples/sec: 624.162 | iteration 25500/ 143000 | elapsed time per iteration (ms): 1640.6 | learning rate: 5.625E-04 | approx flops per GPU: 70.5TFLOPS | lm_loss: 2.336621E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 341.53 | backward: 1181.45 | backward-backward: 1181.42 | backward-allreduce: 0.00 | optimizer: 42.01 | batch generator: 3.52
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time (ms) | forward: 340.78 | backward: 1182.10 | backward-backward: 1182.07 | backward-allreduce: 0.00 | optimizer: 42.05 | batch generator: 2.37
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validation results at iteration 30000 | lm_loss value: 2.277179E+00 | lm_loss_ppl value: 9.749142E+00 |
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validation results at iteration 35000 | lm_loss value: 2.260724E+00 | lm_loss_ppl value: 9.590026E+00 |
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time (ms) | forward: 341.26 | backward: 1181.36 | backward-backward: 1181.32 | backward-allreduce: 0.00 | optimizer: 42.06 | batch generator: 3.17
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time (ms) | forward: 341.13 | backward: 1181.57 | backward-backward: 1181.53 | backward-allreduce: 0.00 | optimizer: 42.16 | batch generator: 2.59
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validation results at iteration 50000 | lm_loss value: 2.234592E+00 | lm_loss_ppl value: 9.342673E+00 |
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after 55000 iterations memory (MB) | allocated: 1832.7998046875 | max allocated: 12938.84716796875 | reserved: 14140.0 | max reserved: 14140.0
time (ms) | forward: 346.33 | backward: 1189.26 | backward-backward: 1189.22 | backward-allreduce: 0.00 | optimizer: 42.11 | batch generator: 6.13
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validation results at iteration 55000 | lm_loss value: 2.228575E+00 | lm_loss_ppl value: 9.286619E+00 |
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validation results at iteration 60000 | lm_loss value: 2.218708E+00 | lm_loss_ppl value: 9.195445E+00 |
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validation results at iteration 65000 | lm_loss value: 2.208251E+00 | lm_loss_ppl value: 9.099783E+00 |
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validation results at iteration 70000 | lm_loss value: 2.202823E+00 | lm_loss_ppl value: 9.050529E+00 |
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validation results at iteration 75000 | lm_loss value: 2.191936E+00 | lm_loss_ppl value: 8.952531E+00 |
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validation results at iteration 80000 | lm_loss value: 2.187298E+00 | lm_loss_ppl value: 8.911103E+00 |
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validation results at iteration 90000 | lm_loss value: 2.170986E+00 | lm_loss_ppl value: 8.766921E+00 |
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after 109000 iterations memory (MB) | allocated: 1832.7998046875 | max allocated: 12938.84716796875 | reserved: 14140.0 | max reserved: 14140.0
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time (ms) | forward: 341.73 | backward: 1181.80 | backward-backward: 1181.77 | backward-allreduce: 0.00 | optimizer: 42.00 | batch generator: 2.95
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time (ms) | forward: 341.50 | backward: 1186.12 | backward-backward: 1186.09 | backward-allreduce: 0.00 | optimizer: 41.97 | batch generator: 2.89
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validation results at iteration 120000 | lm_loss value: 2.124752E+00 | lm_loss_ppl value: 8.370824E+00 |
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samples/sec: 652.562 | iteration 130000/ 143000 | elapsed time per iteration (ms): 1569.2 | learning rate: 7.140E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.165758E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.71 | backward: 1181.60 | backward-backward: 1181.57 | backward-allreduce: 0.00 | optimizer: 42.03 | batch generator: 2.69
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validation results at iteration 130000 | lm_loss value: 2.120112E+00 | lm_loss_ppl value: 8.332068E+00 |
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samples/sec: 623.969 | iteration 130500/ 143000 | elapsed time per iteration (ms): 1641.1 | learning rate: 7.056E-05 | approx flops per GPU: 70.5TFLOPS | lm_loss: 2.165841E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 341.35 | backward: 1182.08 | backward-backward: 1182.04 | backward-allreduce: 0.00 | optimizer: 41.99 | batch generator: 2.88
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samples/sec: 652.551 | iteration 131000/ 143000 | elapsed time per iteration (ms): 1569.2 | learning rate: 6.974E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.165390E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 341.53 | backward: 1181.98 | backward-backward: 1181.95 | backward-allreduce: 0.00 | optimizer: 42.02 | batch generator: 2.67
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samples/sec: 652.469 | iteration 131500/ 143000 | elapsed time per iteration (ms): 1569.4 | learning rate: 6.896E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.163113E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.88 | backward: 1181.70 | backward-backward: 1181.67 | backward-allreduce: 0.00 | optimizer: 42.05 | batch generator: 2.98
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samples/sec: 652.333 | iteration 132000/ 143000 | elapsed time per iteration (ms): 1569.8 | learning rate: 6.822E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.163762E+00 | loss scale: 16384.0 | number of skipped iterations: 3 | number of nan iterations: 0 |
time (ms) | forward: 341.46 | backward: 1182.19 | backward-backward: 1182.16 | backward-allreduce: 0.00 | optimizer: 41.78 | batch generator: 2.65
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samples/sec: 650.744 | iteration 132500/ 143000 | elapsed time per iteration (ms): 1573.6 | learning rate: 6.750E-05 | approx flops per GPU: 73.5TFLOPS | lm_loss: 2.164282E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.50 | backward: 1186.41 | backward-backward: 1186.37 | backward-allreduce: 0.00 | optimizer: 42.16 | batch generator: 2.55
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samples/sec: 652.443 | iteration 133000/ 143000 | elapsed time per iteration (ms): 1569.5 | learning rate: 6.681E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.162564E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.32 | backward: 1182.32 | backward-backward: 1182.28 | backward-allreduce: 0.00 | optimizer: 42.09 | batch generator: 2.31
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samples/sec: 652.571 | iteration 133500/ 143000 | elapsed time per iteration (ms): 1569.2 | learning rate: 6.616E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.162058E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.61 | backward: 1181.85 | backward-backward: 1181.81 | backward-allreduce: 0.00 | optimizer: 42.05 | batch generator: 2.62
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samples/sec: 652.431 | iteration 134000/ 143000 | elapsed time per iteration (ms): 1569.5 | learning rate: 6.554E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.161019E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.42 | backward: 1182.03 | backward-backward: 1181.99 | backward-allreduce: 0.00 | optimizer: 42.04 | batch generator: 2.55
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samples/sec: 652.599 | iteration 134500/ 143000 | elapsed time per iteration (ms): 1569.1 | learning rate: 6.496E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.161353E+00 | loss scale: 16384.0 | number of skipped iterations: 3 | number of nan iterations: 0 |
time (ms) | forward: 341.51 | backward: 1182.07 | backward-backward: 1182.03 | backward-allreduce: 0.00 | optimizer: 41.78 | batch generator: 2.67
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samples/sec: 652.344 | iteration 135000/ 143000 | elapsed time per iteration (ms): 1569.7 | learning rate: 6.440E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.161707E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.77 | backward: 1181.87 | backward-backward: 1181.83 | backward-allreduce: 0.00 | optimizer: 42.01 | batch generator: 2.89
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validation results at iteration 135000 | lm_loss value: 2.115296E+00 | lm_loss_ppl value: 8.292043E+00 |
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samples/sec: 622.081 | iteration 135500/ 143000 | elapsed time per iteration (ms): 1646.1 | learning rate: 6.388E-05 | approx flops per GPU: 70.3TFLOPS | lm_loss: 2.160641E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.81 | backward: 1186.31 | backward-backward: 1186.27 | backward-allreduce: 0.00 | optimizer: 42.18 | batch generator: 3.32
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samples/sec: 652.550 | iteration 136000/ 143000 | elapsed time per iteration (ms): 1569.2 | learning rate: 6.339E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.162566E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.47 | backward: 1182.01 | backward-backward: 1181.97 | backward-allreduce: 0.00 | optimizer: 42.08 | batch generator: 2.53
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samples/sec: 652.557 | iteration 136500/ 143000 | elapsed time per iteration (ms): 1569.2 | learning rate: 6.293E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.159975E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.47 | backward: 1181.91 | backward-backward: 1181.87 | backward-allreduce: 0.00 | optimizer: 42.14 | batch generator: 2.57
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samples/sec: 652.650 | iteration 137000/ 143000 | elapsed time per iteration (ms): 1569.0 | learning rate: 6.251E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.161976E+00 | loss scale: 16384.0 | number of skipped iterations: 3 | number of nan iterations: 0 |
time (ms) | forward: 341.46 | backward: 1181.87 | backward-backward: 1181.83 | backward-allreduce: 0.00 | optimizer: 41.87 | batch generator: 2.54
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samples/sec: 652.559 | iteration 137500/ 143000 | elapsed time per iteration (ms): 1569.2 | learning rate: 6.212E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.159670E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.45 | backward: 1182.02 | backward-backward: 1181.99 | backward-allreduce: 0.00 | optimizer: 42.08 | batch generator: 2.44
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samples/sec: 652.391 | iteration 138000/ 143000 | elapsed time per iteration (ms): 1569.6 | learning rate: 6.176E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.159072E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.49 | backward: 1182.11 | backward-backward: 1182.07 | backward-allreduce: 0.00 | optimizer: 42.10 | batch generator: 2.56
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samples/sec: 652.637 | iteration 138500/ 143000 | elapsed time per iteration (ms): 1569.0 | learning rate: 6.144E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.161305E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.43 | backward: 1181.84 | backward-backward: 1181.80 | backward-allreduce: 0.00 | optimizer: 42.05 | batch generator: 2.79
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samples/sec: 652.571 | iteration 139000/ 143000 | elapsed time per iteration (ms): 1569.2 | learning rate: 6.115E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.160093E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.51 | backward: 1182.00 | backward-backward: 1181.96 | backward-allreduce: 0.00 | optimizer: 42.07 | batch generator: 2.76
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time (ms) | forward: 341.42 | backward: 1181.80 | backward-backward: 1181.76 | backward-allreduce: 0.00 | optimizer: 41.97 | batch generator: 2.41
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samples/sec: 652.650 | iteration 140000/ 143000 | elapsed time per iteration (ms): 1569.0 | learning rate: 6.066E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.157870E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.90 | backward: 1181.51 | backward-backward: 1181.47 | backward-allreduce: 0.00 | optimizer: 42.07 | batch generator: 2.98
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validation results at iteration 140000 | lm_loss value: 2.113937E+00 | lm_loss_ppl value: 8.280780E+00 |
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samples/sec: 623.943 | iteration 140500/ 143000 | elapsed time per iteration (ms): 1641.2 | learning rate: 6.047E-05 | approx flops per GPU: 70.5TFLOPS | lm_loss: 2.158919E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.70 | backward: 1181.65 | backward-backward: 1181.62 | backward-allreduce: 0.00 | optimizer: 42.12 | batch generator: 3.12
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samples/sec: 652.627 | iteration 141000/ 143000 | elapsed time per iteration (ms): 1569.0 | learning rate: 6.031E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.159078E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 341.48 | backward: 1181.81 | backward-backward: 1181.77 | backward-allreduce: 0.00 | optimizer: 42.01 | batch generator: 2.65
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samples/sec: 652.507 | iteration 141500/ 143000 | elapsed time per iteration (ms): 1569.3 | learning rate: 6.018E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.158313E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 341.83 | backward: 1181.47 | backward-backward: 1181.43 | backward-allreduce: 0.00 | optimizer: 42.01 | batch generator: 2.88
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samples/sec: 652.482 | iteration 142000/ 143000 | elapsed time per iteration (ms): 1569.4 | learning rate: 6.009E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.159870E+00 | loss scale: 16384.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 341.70 | backward: 1181.87 | backward-backward: 1181.83 | backward-allreduce: 0.00 | optimizer: 42.02 | batch generator: 2.86
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samples/sec: 650.872 | iteration 142500/ 143000 | elapsed time per iteration (ms): 1573.3 | learning rate: 6.003E-05 | approx flops per GPU: 73.5TFLOPS | lm_loss: 2.157927E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.64 | backward: 1185.68 | backward-backward: 1185.64 | backward-allreduce: 0.00 | optimizer: 42.21 | batch generator: 2.79
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samples/sec: 652.507 | iteration 143000/ 143000 | elapsed time per iteration (ms): 1569.3 | learning rate: 6.000E-05 | approx flops per GPU: 73.7TFLOPS | lm_loss: 2.158180E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 341.84 | backward: 1181.68 | backward-backward: 1181.64 | backward-allreduce: 0.00 | optimizer: 42.19 | batch generator: 2.93
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validation results at the end of training for val data | lm_loss value: 2.115951E+00 | lm_loss_ppl value: 8.297475E+00 |
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WARNING: Deleting old checkpoints:
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test results at the end of training for test data | lm_loss value: 2.107435E+00 | lm_loss_ppl value: 8.227115E+00 |
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