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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]
MPU PP: [0]
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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=45
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: ParallelFlownetLayerPipe
27: ParallelFlownetLayerPipe
28: ParallelFlownetLayerPipe
29: ParallelFlownetLayerPipe
30: ParallelFlownetLayerPipe
31: ParallelFlownetLayerPipe
32: ParallelFlownetLayerPipe
33: ParallelFlownetLayerPipe
34: ParallelFlownetLayerPipe
35: ParallelFlownetLayerPipe
36: ParallelFlownetLayerPipe
37: ParallelFlownetLayerPipe
38: ParallelFlownetLayerPipe
39: ParallelFlownetLayerPipe
40: ParallelFlownetLayerPipe
41: ParallelFlownetLayerPipe
42: _post_transformer_block
43: NormPipe
44: 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: 1587219456
> total params: 1,587,219,456
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 0.251 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 0.218 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 0.144 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: 4507.04 | train/valid/test data iterators: 6699.92
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: 221.838 | iteration 500/ 143000 | elapsed time per iteration (ms): 4616.0 | learning rate: 2.098E-04 | approx flops per GPU: 81.9TFLOPS | lm_loss: 6.314383E+00 | loss scale: 4096.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
after 500 iterations memory (MB) | allocated: 6356.6455078125 | max allocated: 16125.09765625 | reserved: 17282.0 | max reserved: 17282.0
time (ms) | forward: 940.28 | backward: 3469.40 | backward-backward: 3469.33 | backward-allreduce: 0.00 | optimizer: 138.22 | batch generator: 3.18
WARNING: Deleting old checkpoints:
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samples/sec: 225.774 | iteration 1000/ 143000 | elapsed time per iteration (ms): 4535.5 | learning rate: 4.196E-04 | approx flops per GPU: 83.3TFLOPS | lm_loss: 3.695211E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.00 | backward: 3446.64 | backward-backward: 3446.57 | backward-allreduce: 0.00 | optimizer: 138.24 | batch generator: 2.27
WARNING: Deleting old checkpoints:
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samples/sec: 226.139 | iteration 1500/ 143000 | elapsed time per iteration (ms): 4528.2 | learning rate: 6.000E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 3.099024E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.80 | backward: 3449.78 | backward-backward: 3449.70 | backward-allreduce: 0.00 | optimizer: 138.24 | batch generator: 2.29
WARNING: Deleting old checkpoints:
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samples/sec: 226.333 | iteration 2000/ 143000 | elapsed time per iteration (ms): 4524.3 | learning rate: 6.000E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.830897E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.27 | backward: 3444.95 | backward-backward: 3444.88 | backward-allreduce: 0.00 | optimizer: 138.16 | batch generator: 2.34
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samples/sec: 226.182 | iteration 2500/ 143000 | elapsed time per iteration (ms): 4527.3 | learning rate: 5.999E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.682815E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.73 | backward: 3448.22 | backward-backward: 3448.14 | backward-allreduce: 0.00 | optimizer: 138.18 | batch generator: 2.32
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samples/sec: 226.165 | iteration 3000/ 143000 | elapsed time per iteration (ms): 4527.7 | learning rate: 5.998E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.592844E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.02 | backward: 3449.06 | backward-backward: 3448.99 | backward-allreduce: 0.00 | optimizer: 137.99 | batch generator: 2.33
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samples/sec: 225.553 | iteration 3500/ 143000 | elapsed time per iteration (ms): 4539.9 | learning rate: 5.997E-04 | approx flops per GPU: 83.3TFLOPS | lm_loss: 2.534201E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.25 | backward: 3459.57 | backward-backward: 3459.49 | backward-allreduce: 0.00 | optimizer: 139.31 | batch generator: 2.86
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samples/sec: 226.121 | iteration 4000/ 143000 | elapsed time per iteration (ms): 4528.6 | learning rate: 5.996E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.490065E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.60 | backward: 3445.28 | backward-backward: 3445.21 | backward-allreduce: 0.00 | optimizer: 137.65 | batch generator: 2.30
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samples/sec: 226.309 | iteration 4500/ 143000 | elapsed time per iteration (ms): 4524.8 | learning rate: 5.994E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.456325E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.59 | backward: 3446.43 | backward-backward: 3446.35 | backward-allreduce: 0.00 | optimizer: 137.77 | batch generator: 2.30
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samples/sec: 226.310 | iteration 5000/ 143000 | elapsed time per iteration (ms): 4524.8 | learning rate: 5.992E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.428536E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.51 | backward: 3446.61 | backward-backward: 3446.54 | backward-allreduce: 0.00 | optimizer: 137.67 | batch generator: 2.30
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validation results at iteration 5000 | lm_loss value: 2.367668E+00 | lm_loss_ppl value: 1.067248E+01 |
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samples/sec: 216.965 | iteration 5500/ 143000 | elapsed time per iteration (ms): 4719.7 | learning rate: 5.989E-04 | approx flops per GPU: 80.1TFLOPS | lm_loss: 2.405654E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.09 | backward: 3446.48 | backward-backward: 3446.41 | backward-allreduce: 0.00 | optimizer: 137.96 | batch generator: 2.67
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samples/sec: 226.293 | iteration 6000/ 143000 | elapsed time per iteration (ms): 4525.1 | learning rate: 5.986E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.386074E+00 | loss scale: 131072.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.28 | backward: 3447.20 | backward-backward: 3447.13 | backward-allreduce: 0.00 | optimizer: 137.87 | batch generator: 2.29
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samples/sec: 226.315 | iteration 6500/ 143000 | elapsed time per iteration (ms): 4524.7 | learning rate: 5.983E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.367453E+00 | loss scale: 65536.0 | number of skipped iterations: 2 | number of nan iterations: 0 |
time (ms) | forward: 931.23 | backward: 3446.88 | backward-backward: 3446.81 | backward-allreduce: 0.00 | optimizer: 137.21 | batch generator: 2.34
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samples/sec: 226.530 | iteration 7000/ 143000 | elapsed time per iteration (ms): 4520.4 | learning rate: 5.979E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.354038E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.58 | backward: 3442.72 | backward-backward: 3442.65 | backward-allreduce: 0.00 | optimizer: 137.52 | batch generator: 2.33
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samples/sec: 226.107 | iteration 7500/ 143000 | elapsed time per iteration (ms): 4528.8 | learning rate: 5.976E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.342027E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 933.75 | backward: 3448.55 | backward-backward: 3448.47 | backward-allreduce: 0.00 | optimizer: 137.72 | batch generator: 4.74
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samples/sec: 226.502 | iteration 8000/ 143000 | elapsed time per iteration (ms): 4520.9 | learning rate: 5.971E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.329950E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.50 | backward: 3443.02 | backward-backward: 3442.94 | backward-allreduce: 0.00 | optimizer: 137.78 | batch generator: 2.31
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samples/sec: 226.361 | iteration 8500/ 143000 | elapsed time per iteration (ms): 4523.7 | learning rate: 5.967E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.319938E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.40 | backward: 3446.50 | backward-backward: 3446.43 | backward-allreduce: 0.00 | optimizer: 137.63 | batch generator: 2.33
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samples/sec: 226.503 | iteration 9000/ 143000 | elapsed time per iteration (ms): 4520.9 | learning rate: 5.962E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.308959E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.68 | backward: 3442.73 | backward-backward: 3442.66 | backward-allreduce: 0.00 | optimizer: 137.98 | batch generator: 2.36
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samples/sec: 226.511 | iteration 9500/ 143000 | elapsed time per iteration (ms): 4520.8 | learning rate: 5.957E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.300303E+00 | loss scale: 16384.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.52 | backward: 3442.84 | backward-backward: 3442.77 | backward-allreduce: 0.00 | optimizer: 137.91 | batch generator: 2.37
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samples/sec: 226.280 | iteration 10000/ 143000 | elapsed time per iteration (ms): 4525.4 | learning rate: 5.951E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.292035E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.50 | backward: 3447.59 | backward-backward: 3447.51 | backward-allreduce: 0.00 | optimizer: 138.00 | batch generator: 2.30
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validation results at iteration 10000 | lm_loss value: 2.242038E+00 | lm_loss_ppl value: 9.412495E+00 |
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samples/sec: 216.743 | iteration 10500/ 143000 | elapsed time per iteration (ms): 4724.5 | learning rate: 5.946E-04 | approx flops per GPU: 80.0TFLOPS | lm_loss: 2.285537E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.29 | backward: 3450.05 | backward-backward: 3449.97 | backward-allreduce: 0.00 | optimizer: 137.96 | batch generator: 2.72
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samples/sec: 226.311 | iteration 11000/ 143000 | elapsed time per iteration (ms): 4524.8 | learning rate: 5.939E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.278703E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.52 | backward: 3446.94 | backward-backward: 3446.87 | backward-allreduce: 0.00 | optimizer: 137.93 | batch generator: 2.38
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samples/sec: 226.524 | iteration 11500/ 143000 | elapsed time per iteration (ms): 4520.5 | learning rate: 5.933E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.271160E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.23 | backward: 3442.70 | backward-backward: 3442.62 | backward-allreduce: 0.00 | optimizer: 137.78 | batch generator: 2.28
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samples/sec: 226.499 | iteration 12000/ 143000 | elapsed time per iteration (ms): 4521.0 | learning rate: 5.926E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.267786E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.45 | backward: 3442.90 | backward-backward: 3442.82 | backward-allreduce: 0.00 | optimizer: 138.05 | batch generator: 2.29
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samples/sec: 226.322 | iteration 12500/ 143000 | elapsed time per iteration (ms): 4524.5 | learning rate: 5.919E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.260543E+00 | loss scale: 131072.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.32 | backward: 3446.52 | backward-backward: 3446.44 | backward-allreduce: 0.00 | optimizer: 138.03 | batch generator: 2.32
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samples/sec: 226.500 | iteration 13000/ 143000 | elapsed time per iteration (ms): 4521.0 | learning rate: 5.912E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.254842E+00 | loss scale: 65536.0 | number of skipped iterations: 2 | number of nan iterations: 0 |
time (ms) | forward: 931.57 | backward: 3442.73 | backward-backward: 3442.66 | backward-allreduce: 0.00 | optimizer: 137.55 | batch generator: 2.35
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samples/sec: 226.529 | iteration 13500/ 143000 | elapsed time per iteration (ms): 4520.4 | learning rate: 5.904E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.249845E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.33 | backward: 3442.60 | backward-backward: 3442.53 | backward-allreduce: 0.00 | optimizer: 137.84 | batch generator: 2.29
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samples/sec: 226.095 | iteration 14000/ 143000 | elapsed time per iteration (ms): 4529.1 | learning rate: 5.896E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.246879E+00 | loss scale: 16384.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.50 | backward: 3451.09 | backward-backward: 3451.02 | backward-allreduce: 0.00 | optimizer: 138.01 | batch generator: 2.32
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samples/sec: 226.482 | iteration 14500/ 143000 | elapsed time per iteration (ms): 4521.3 | learning rate: 5.887E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.241458E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.36 | backward: 3443.34 | backward-backward: 3443.27 | backward-allreduce: 0.00 | optimizer: 138.32 | batch generator: 2.34
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samples/sec: 226.480 | iteration 15000/ 143000 | elapsed time per iteration (ms): 4521.4 | learning rate: 5.879E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.238571E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.53 | backward: 3443.34 | backward-backward: 3443.27 | backward-allreduce: 0.00 | optimizer: 138.29 | batch generator: 2.28
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validation results at iteration 15000 | lm_loss value: 2.186796E+00 | lm_loss_ppl value: 8.906630E+00 |
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samples/sec: 217.174 | iteration 15500/ 143000 | elapsed time per iteration (ms): 4715.1 | learning rate: 5.870E-04 | approx flops per GPU: 80.2TFLOPS | lm_loss: 2.232844E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.40 | backward: 3442.74 | backward-backward: 3442.66 | backward-allreduce: 0.00 | optimizer: 138.22 | batch generator: 2.66
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samples/sec: 226.318 | iteration 16000/ 143000 | elapsed time per iteration (ms): 4524.6 | learning rate: 5.860E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.229282E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.56 | backward: 3446.90 | backward-backward: 3446.82 | backward-allreduce: 0.00 | optimizer: 137.88 | batch generator: 2.27
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samples/sec: 226.542 | iteration 16500/ 143000 | elapsed time per iteration (ms): 4520.1 | learning rate: 5.851E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.226802E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.36 | backward: 3442.35 | backward-backward: 3442.27 | backward-allreduce: 0.00 | optimizer: 138.10 | batch generator: 2.27
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samples/sec: 226.520 | iteration 17000/ 143000 | elapsed time per iteration (ms): 4520.6 | learning rate: 5.841E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.221625E+00 | loss scale: 131072.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.55 | backward: 3442.55 | backward-backward: 3442.47 | backward-allreduce: 0.00 | optimizer: 138.02 | batch generator: 2.26
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samples/sec: 226.189 | iteration 17500/ 143000 | elapsed time per iteration (ms): 4527.2 | learning rate: 5.830E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.219367E+00 | loss scale: 131072.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.38 | backward: 3449.64 | backward-backward: 3449.56 | backward-allreduce: 0.00 | optimizer: 137.94 | batch generator: 2.27
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samples/sec: 226.330 | iteration 18000/ 143000 | elapsed time per iteration (ms): 4524.4 | learning rate: 5.820E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.214526E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.54 | backward: 3446.65 | backward-backward: 3446.57 | backward-allreduce: 0.00 | optimizer: 138.01 | batch generator: 2.29
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samples/sec: 226.518 | iteration 18500/ 143000 | elapsed time per iteration (ms): 4520.6 | learning rate: 5.809E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.213750E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.77 | backward: 3442.23 | backward-backward: 3442.15 | backward-allreduce: 0.00 | optimizer: 137.94 | batch generator: 2.33
samples/sec: 225.724 | iteration 19000/ 143000 | elapsed time per iteration (ms): 4536.5 | learning rate: 5.798E-04 | approx flops per GPU: 83.3TFLOPS | lm_loss: 2.210246E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
after 19000 iterations memory (MB) | allocated: 6356.6455078125 | max allocated: 16125.47265625 | reserved: 17262.0 | max reserved: 17262.0
time (ms) | forward: 951.22 | backward: 3445.88 | backward-backward: 3445.81 | backward-allreduce: 0.00 | optimizer: 137.97 | batch generator: 6.18
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samples/sec: 225.617 | iteration 19500/ 143000 | elapsed time per iteration (ms): 4538.7 | learning rate: 5.786E-04 | approx flops per GPU: 83.3TFLOPS | lm_loss: 2.207177E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 933.88 | backward: 3443.56 | backward-backward: 3443.49 | backward-allreduce: 0.00 | optimizer: 137.98 | batch generator: 2.30
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samples/sec: 225.475 | iteration 20000/ 143000 | elapsed time per iteration (ms): 4541.5 | learning rate: 5.774E-04 | approx flops per GPU: 83.2TFLOPS | lm_loss: 2.203768E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 933.87 | backward: 3461.44 | backward-backward: 3461.37 | backward-allreduce: 0.00 | optimizer: 137.74 | batch generator: 2.32
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validation results at iteration 20000 | lm_loss value: 2.160887E+00 | lm_loss_ppl value: 8.678828E+00 |
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samples/sec: 216.413 | iteration 20500/ 143000 | elapsed time per iteration (ms): 4731.7 | learning rate: 5.762E-04 | approx flops per GPU: 79.9TFLOPS | lm_loss: 2.202244E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 940.35 | backward: 3449.80 | backward-backward: 3449.72 | backward-allreduce: 0.00 | optimizer: 138.01 | batch generator: 9.14
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samples/sec: 226.318 | iteration 21000/ 143000 | elapsed time per iteration (ms): 4524.6 | learning rate: 5.750E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.197923E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 933.77 | backward: 3444.45 | backward-backward: 3444.37 | backward-allreduce: 0.00 | optimizer: 137.89 | batch generator: 2.32
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time (ms) | forward: 934.07 | backward: 3443.71 | backward-backward: 3443.64 | backward-allreduce: 0.00 | optimizer: 137.94 | batch generator: 2.33
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time (ms) | forward: 933.23 | backward: 3442.11 | backward-backward: 3442.04 | backward-allreduce: 0.00 | optimizer: 138.12 | batch generator: 2.28
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time (ms) | forward: 933.45 | backward: 3442.17 | backward-backward: 3442.10 | backward-allreduce: 0.00 | optimizer: 138.00 | batch generator: 2.27
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time (ms) | forward: 933.22 | backward: 3461.56 | backward-backward: 3461.48 | backward-allreduce: 0.00 | optimizer: 137.67 | batch generator: 2.25
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time (ms) | forward: 933.36 | backward: 3442.07 | backward-backward: 3442.00 | backward-allreduce: 0.00 | optimizer: 138.04 | batch generator: 2.30
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samples/sec: 217.078 | iteration 25500/ 143000 | elapsed time per iteration (ms): 4717.2 | learning rate: 5.625E-04 | approx flops per GPU: 80.1TFLOPS | lm_loss: 2.180659E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 933.52 | backward: 3442.36 | backward-backward: 3442.29 | backward-allreduce: 0.00 | optimizer: 138.09 | batch generator: 2.72
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time (ms) | forward: 933.34 | backward: 3453.62 | backward-backward: 3453.55 | backward-allreduce: 0.00 | optimizer: 137.43 | batch generator: 2.31
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time (ms) | forward: 933.10 | backward: 3442.67 | backward-backward: 3442.60 | backward-allreduce: 0.00 | optimizer: 137.85 | batch generator: 2.30
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time (ms) | forward: 933.40 | backward: 3447.70 | backward-backward: 3447.62 | backward-allreduce: 0.00 | optimizer: 137.73 | batch generator: 2.31
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time (ms) | forward: 933.66 | backward: 3447.72 | backward-backward: 3447.65 | backward-allreduce: 0.00 | optimizer: 138.03 | batch generator: 2.32
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time (ms) | forward: 937.78 | backward: 3458.98 | backward-backward: 3458.90 | backward-allreduce: 0.00 | optimizer: 138.88 | batch generator: 2.93
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validation results at iteration 30000 | lm_loss value: 2.117252E+00 | lm_loss_ppl value: 8.308276E+00 |
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samples/sec: 216.502 | iteration 30500/ 143000 | elapsed time per iteration (ms): 4729.8 | learning rate: 5.458E-04 | approx flops per GPU: 79.9TFLOPS | lm_loss: 2.163256E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
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time (ms) | forward: 940.38 | backward: 3456.07 | backward-backward: 3456.00 | backward-allreduce: 0.00 | optimizer: 138.11 | batch generator: 9.40
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samples/sec: 226.424 | iteration 35000/ 143000 | elapsed time per iteration (ms): 4522.5 | learning rate: 5.286E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.150846E+00 | loss scale: 65536.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
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validation results at iteration 35000 | lm_loss value: 2.106865E+00 | lm_loss_ppl value: 8.222427E+00 |
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samples/sec: 217.015 | iteration 35500/ 143000 | elapsed time per iteration (ms): 4718.6 | learning rate: 5.266E-04 | approx flops per GPU: 80.1TFLOPS | lm_loss: 2.149761E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.62 | backward: 3443.63 | backward-backward: 3443.56 | backward-allreduce: 0.00 | optimizer: 137.91 | batch generator: 2.70
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time (ms) | forward: 944.12 | backward: 3489.30 | backward-backward: 3489.23 | backward-allreduce: 0.00 | optimizer: 137.83 | batch generator: 14.06
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time (ms) | forward: 932.72 | backward: 3443.64 | backward-backward: 3443.57 | backward-allreduce: 0.00 | optimizer: 138.07 | batch generator: 2.34
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after 37500 iterations memory (MB) | allocated: 6356.6455078125 | max allocated: 16125.47265625 | reserved: 17262.0 | max reserved: 17262.0
time (ms) | forward: 936.44 | backward: 3461.87 | backward-backward: 3461.80 | backward-allreduce: 0.00 | optimizer: 138.14 | batch generator: 4.85
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validation results at iteration 50000 | lm_loss value: 2.074510E+00 | lm_loss_ppl value: 7.960646E+00 |
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validation results at iteration 55000 | lm_loss value: 2.066541E+00 | lm_loss_ppl value: 7.897462E+00 |
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time (ms) | forward: 931.10 | backward: 3444.86 | backward-backward: 3444.79 | backward-allreduce: 0.00 | optimizer: 137.94 | batch generator: 2.29
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validation results at iteration 60000 | lm_loss value: 2.057104E+00 | lm_loss_ppl value: 7.823278E+00 |
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samples/sec: 217.150 | iteration 60500/ 143000 | elapsed time per iteration (ms): 4715.6 | learning rate: 3.998E-04 | approx flops per GPU: 80.2TFLOPS | lm_loss: 2.098890E+00 | loss scale: 32768.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.24 | backward: 3443.51 | backward-backward: 3443.45 | backward-allreduce: 0.00 | optimizer: 138.01 | batch generator: 2.67
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time (ms) | forward: 931.10 | backward: 3443.24 | backward-backward: 3443.18 | backward-allreduce: 0.00 | optimizer: 138.27 | batch generator: 2.29
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time (ms) | forward: 931.25 | backward: 3445.58 | backward-backward: 3445.51 | backward-allreduce: 0.00 | optimizer: 138.48 | batch generator: 2.29
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time (ms) | forward: 930.82 | backward: 3444.18 | backward-backward: 3444.11 | backward-allreduce: 0.00 | optimizer: 138.38 | batch generator: 2.28
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time (ms) | forward: 931.57 | backward: 3442.90 | backward-backward: 3442.83 | backward-allreduce: 0.00 | optimizer: 137.96 | batch generator: 2.32
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validation results at iteration 65000 | lm_loss value: 2.048048E+00 | lm_loss_ppl value: 7.752753E+00 |
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samples/sec: 215.731 | iteration 65500/ 143000 | elapsed time per iteration (ms): 4746.6 | learning rate: 3.705E-04 | approx flops per GPU: 79.6TFLOPS | lm_loss: 2.091273E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.14 | backward: 3473.09 | backward-backward: 3473.02 | backward-allreduce: 0.00 | optimizer: 138.58 | batch generator: 2.73
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time (ms) | forward: 931.91 | backward: 3442.71 | backward-backward: 3442.64 | backward-allreduce: 0.00 | optimizer: 138.54 | batch generator: 2.33
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time (ms) | forward: 931.64 | backward: 3443.57 | backward-backward: 3443.50 | backward-allreduce: 0.00 | optimizer: 138.22 | batch generator: 2.31
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validation results at iteration 70000 | lm_loss value: 2.040694E+00 | lm_loss_ppl value: 7.695945E+00 |
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time (ms) | forward: 931.87 | backward: 3445.31 | backward-backward: 3445.24 | backward-allreduce: 0.00 | optimizer: 137.92 | batch generator: 2.39
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after 75000 iterations memory (MB) | allocated: 6356.6455078125 | max allocated: 16125.47265625 | reserved: 17262.0 | max reserved: 17262.0
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time (ms) | forward: 932.83 | backward: 3448.08 | backward-backward: 3448.01 | backward-allreduce: 0.00 | optimizer: 138.17 | batch generator: 2.24
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validation results at iteration 80000 | lm_loss value: 2.020702E+00 | lm_loss_ppl value: 7.543620E+00 |
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validation results at iteration 85000 | lm_loss value: 2.010824E+00 | lm_loss_ppl value: 7.469468E+00 |
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validation results at iteration 90000 | lm_loss value: 2.006134E+00 | lm_loss_ppl value: 7.434518E+00 |
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time (ms) | forward: 932.49 | backward: 3445.49 | backward-backward: 3445.42 | backward-allreduce: 0.00 | optimizer: 138.21 | batch generator: 2.22
samples/sec: 226.103 | iteration 93500/ 143000 | elapsed time per iteration (ms): 4528.9 | learning rate: 2.077E-04 | approx flops per GPU: 83.5TFLOPS | lm_loss: 2.040963E+00 | loss scale: 4096.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
after 93500 iterations memory (MB) | allocated: 6356.6455078125 | max allocated: 16125.47265625 | reserved: 17262.0 | max reserved: 17262.0
time (ms) | forward: 942.02 | backward: 3447.72 | backward-backward: 3447.65 | backward-allreduce: 0.00 | optimizer: 137.69 | batch generator: 5.50
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time (ms) | forward: 932.05 | backward: 3452.38 | backward-backward: 3452.30 | backward-allreduce: 0.00 | optimizer: 137.47 | batch generator: 2.24
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time (ms) | forward: 947.40 | backward: 3552.13 | backward-backward: 3552.05 | backward-allreduce: 0.00 | optimizer: 137.51 | batch generator: 17.77
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time (ms) | forward: 932.00 | backward: 3446.65 | backward-backward: 3446.58 | backward-allreduce: 0.00 | optimizer: 137.41 | batch generator: 2.27
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validation results at iteration 95000 | lm_loss value: 1.994387E+00 | lm_loss_ppl value: 7.347695E+00 |
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samples/sec: 216.811 | iteration 95500/ 143000 | elapsed time per iteration (ms): 4723.0 | learning rate: 1.971E-04 | approx flops per GPU: 80.0TFLOPS | lm_loss: 2.037165E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.85 | backward: 3446.85 | backward-backward: 3446.78 | backward-allreduce: 0.00 | optimizer: 137.46 | batch generator: 2.64
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time (ms) | forward: 932.08 | backward: 3446.07 | backward-backward: 3446.00 | backward-allreduce: 0.00 | optimizer: 137.09 | batch generator: 2.27
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time (ms) | forward: 931.93 | backward: 3444.47 | backward-backward: 3444.40 | backward-allreduce: 0.00 | optimizer: 137.50 | batch generator: 2.34
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time (ms) | forward: 932.04 | backward: 3444.58 | backward-backward: 3444.51 | backward-allreduce: 0.00 | optimizer: 137.21 | batch generator: 2.32
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time (ms) | forward: 931.57 | backward: 3444.59 | backward-backward: 3444.52 | backward-allreduce: 0.00 | optimizer: 137.47 | batch generator: 2.27
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time (ms) | forward: 932.20 | backward: 3443.94 | backward-backward: 3443.87 | backward-allreduce: 0.00 | optimizer: 137.44 | batch generator: 2.26
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time (ms) | forward: 931.45 | backward: 3444.42 | backward-backward: 3444.34 | backward-allreduce: 0.00 | optimizer: 136.86 | batch generator: 2.24
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time (ms) | forward: 932.27 | backward: 3444.39 | backward-backward: 3444.32 | backward-allreduce: 0.00 | optimizer: 137.16 | batch generator: 2.27
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time (ms) | forward: 932.82 | backward: 3444.43 | backward-backward: 3444.36 | backward-allreduce: 0.00 | optimizer: 137.40 | batch generator: 2.29
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samples/sec: 221.829 | iteration 100000/ 143000 | elapsed time per iteration (ms): 4616.2 | learning rate: 1.744E-04 | approx flops per GPU: 81.9TFLOPS | lm_loss: 2.028838E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.62 | backward: 3538.91 | backward-backward: 3538.83 | backward-allreduce: 0.00 | optimizer: 137.43 | batch generator: 2.24
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validation results at iteration 100000 | lm_loss value: 1.986333E+00 | lm_loss_ppl value: 7.288755E+00 |
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samples/sec: 204.854 | iteration 100500/ 143000 | elapsed time per iteration (ms): 4998.7 | learning rate: 1.720E-04 | approx flops per GPU: 75.6TFLOPS | lm_loss: 2.026396E+00 | loss scale: 16384.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 931.61 | backward: 3451.18 | backward-backward: 3451.11 | backward-allreduce: 0.00 | optimizer: 137.16 | batch generator: 109.10
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time (ms) | forward: 931.75 | backward: 3445.78 | backward-backward: 3445.71 | backward-allreduce: 0.00 | optimizer: 137.41 | batch generator: 2.22
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time (ms) | forward: 931.56 | backward: 3446.23 | backward-backward: 3446.16 | backward-allreduce: 0.00 | optimizer: 137.38 | batch generator: 2.24
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samples/sec: 226.365 | iteration 102000/ 143000 | elapsed time per iteration (ms): 4523.7 | learning rate: 1.648E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.023159E+00 | loss scale: 16384.0 | number of skipped iterations: 2 | number of nan iterations: 0 |
time (ms) | forward: 933.14 | backward: 3445.27 | backward-backward: 3445.20 | backward-allreduce: 0.00 | optimizer: 136.88 | batch generator: 2.30
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samples/sec: 226.375 | iteration 102500/ 143000 | elapsed time per iteration (ms): 4523.5 | learning rate: 1.624E-04 | approx flops per GPU: 83.6TFLOPS | lm_loss: 2.022871E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.94 | backward: 3444.78 | backward-backward: 3444.71 | backward-allreduce: 0.00 | optimizer: 137.41 | batch generator: 2.32
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time (ms) | forward: 933.10 | backward: 3556.67 | backward-backward: 3556.60 | backward-allreduce: 0.00 | optimizer: 139.21 | batch generator: 2.30
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time (ms) | forward: 932.81 | backward: 3596.01 | backward-backward: 3595.94 | backward-allreduce: 0.00 | optimizer: 141.17 | batch generator: 2.30
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time (ms) | forward: 933.10 | backward: 3579.17 | backward-backward: 3579.10 | backward-allreduce: 0.00 | optimizer: 140.82 | batch generator: 2.31
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time (ms) | forward: 931.56 | backward: 3646.51 | backward-backward: 3646.43 | backward-allreduce: 0.00 | optimizer: 144.16 | batch generator: 2.24
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time (ms) | forward: 931.74 | backward: 3610.08 | backward-backward: 3610.01 | backward-allreduce: 0.00 | optimizer: 141.36 | batch generator: 2.25
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validation results at iteration 105000 | lm_loss value: 1.975867E+00 | lm_loss_ppl value: 7.212868E+00 |
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samples/sec: 208.821 | iteration 105500/ 143000 | elapsed time per iteration (ms): 4903.7 | learning rate: 1.487E-04 | approx flops per GPU: 77.1TFLOPS | lm_loss: 2.017798E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.47 | backward: 3615.37 | backward-backward: 3615.29 | backward-allreduce: 0.00 | optimizer: 141.38 | batch generator: 2.72
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time (ms) | forward: 931.91 | backward: 3600.95 | backward-backward: 3600.88 | backward-allreduce: 0.00 | optimizer: 139.83 | batch generator: 2.33
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time (ms) | forward: 933.09 | backward: 3599.10 | backward-backward: 3599.03 | backward-allreduce: 0.00 | optimizer: 140.59 | batch generator: 2.40
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samples/sec: 219.684 | iteration 107000/ 143000 | elapsed time per iteration (ms): 4661.3 | learning rate: 1.422E-04 | approx flops per GPU: 81.1TFLOPS | lm_loss: 2.015300E+00 | loss scale: 65536.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.82 | backward: 3581.73 | backward-backward: 3581.65 | backward-allreduce: 0.00 | optimizer: 138.25 | batch generator: 2.38
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time (ms) | forward: 932.84 | backward: 3652.74 | backward-backward: 3652.66 | backward-allreduce: 0.00 | optimizer: 140.93 | batch generator: 2.37
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time (ms) | forward: 932.93 | backward: 3649.62 | backward-backward: 3649.54 | backward-allreduce: 0.00 | optimizer: 140.49 | batch generator: 2.36
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time (ms) | forward: 932.67 | backward: 3627.85 | backward-backward: 3627.78 | backward-allreduce: 0.00 | optimizer: 140.32 | batch generator: 2.36
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time (ms) | forward: 932.89 | backward: 3642.45 | backward-backward: 3642.37 | backward-allreduce: 0.00 | optimizer: 141.69 | batch generator: 2.36
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time (ms) | forward: 932.83 | backward: 4540.06 | backward-backward: 4539.97 | backward-allreduce: 0.00 | optimizer: 143.41 | batch generator: 2.39
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samples/sec: 160.675 | iteration 110000/ 143000 | elapsed time per iteration (ms): 6373.1 | learning rate: 1.297E-04 | approx flops per GPU: 59.3TFLOPS | lm_loss: 2.011936E+00 | loss scale: 8192.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 933.36 | backward: 5287.17 | backward-backward: 5287.07 | backward-allreduce: 0.00 | optimizer: 141.64 | batch generator: 2.39
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validation results at iteration 110000 | lm_loss value: 1.967269E+00 | lm_loss_ppl value: 7.151122E+00 |
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samples/sec: 156.196 | iteration 110500/ 143000 | elapsed time per iteration (ms): 6555.9 | learning rate: 1.277E-04 | approx flops per GPU: 57.7TFLOPS | lm_loss: 2.009842E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 933.13 | backward: 5247.84 | backward-backward: 5247.75 | backward-allreduce: 0.00 | optimizer: 140.58 | batch generator: 2.77
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time (ms) | forward: 932.81 | backward: 3969.42 | backward-backward: 3969.34 | backward-allreduce: 0.00 | optimizer: 137.44 | batch generator: 2.32
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after 111500 iterations memory (MB) | allocated: 6504.0234375 | max allocated: 16272.8505859375 | reserved: 17262.0 | max reserved: 17262.0
time (ms) | forward: 939.82 | backward: 3460.14 | backward-backward: 3460.06 | backward-allreduce: 0.00 | optimizer: 143.04 | batch generator: 3.21
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time (ms) | forward: 932.05 | backward: 3461.05 | backward-backward: 3460.98 | backward-allreduce: 0.00 | optimizer: 144.40 | batch generator: 2.33
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time (ms) | forward: 931.97 | backward: 3458.53 | backward-backward: 3458.46 | backward-allreduce: 0.00 | optimizer: 143.09 | batch generator: 2.34
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time (ms) | forward: 931.95 | backward: 3461.47 | backward-backward: 3461.40 | backward-allreduce: 0.00 | optimizer: 143.60 | batch generator: 2.32
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time (ms) | forward: 932.15 | backward: 3454.95 | backward-backward: 3454.87 | backward-allreduce: 0.00 | optimizer: 142.32 | batch generator: 2.32
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time (ms) | forward: 931.29 | backward: 3457.36 | backward-backward: 3457.29 | backward-allreduce: 0.00 | optimizer: 143.74 | batch generator: 2.32
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time (ms) | forward: 931.59 | backward: 3454.93 | backward-backward: 3454.86 | backward-allreduce: 0.00 | optimizer: 142.49 | batch generator: 2.31
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validation results at iteration 115000 | lm_loss value: 1.955436E+00 | lm_loss_ppl value: 7.066997E+00 |
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samples/sec: 216.285 | iteration 115500/ 143000 | elapsed time per iteration (ms): 4734.5 | learning rate: 1.092E-04 | approx flops per GPU: 79.8TFLOPS | lm_loss: 1.998555E+00 | loss scale: 32768.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.49 | backward: 3456.30 | backward-backward: 3456.23 | backward-allreduce: 0.00 | optimizer: 143.39 | batch generator: 2.69
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time (ms) | forward: 931.68 | backward: 3457.55 | backward-backward: 3457.48 | backward-allreduce: 0.00 | optimizer: 143.64 | batch generator: 2.31
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time (ms) | forward: 931.44 | backward: 3456.64 | backward-backward: 3456.57 | backward-allreduce: 0.00 | optimizer: 143.06 | batch generator: 2.30
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time (ms) | forward: 931.58 | backward: 3459.00 | backward-backward: 3458.93 | backward-allreduce: 0.00 | optimizer: 143.70 | batch generator: 2.30
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time (ms) | forward: 931.36 | backward: 3459.75 | backward-backward: 3459.67 | backward-allreduce: 0.00 | optimizer: 142.92 | batch generator: 2.26
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time (ms) | forward: 931.61 | backward: 3456.66 | backward-backward: 3456.59 | backward-allreduce: 0.00 | optimizer: 143.18 | batch generator: 2.28
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time (ms) | forward: 931.42 | backward: 3456.18 | backward-backward: 3456.11 | backward-allreduce: 0.00 | optimizer: 143.02 | batch generator: 2.30
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time (ms) | forward: 931.63 | backward: 3456.50 | backward-backward: 3456.43 | backward-allreduce: 0.00 | optimizer: 142.56 | batch generator: 2.31
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time (ms) | forward: 931.37 | backward: 3456.79 | backward-backward: 3456.72 | backward-allreduce: 0.00 | optimizer: 143.02 | batch generator: 2.32
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time (ms) | forward: 931.52 | backward: 3459.29 | backward-backward: 3459.22 | backward-allreduce: 0.00 | optimizer: 144.44 | batch generator: 2.31
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validation results at iteration 120000 | lm_loss value: 1.947511E+00 | lm_loss_ppl value: 7.011218E+00 |
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samples/sec: 215.281 | iteration 120500/ 143000 | elapsed time per iteration (ms): 4756.6 | learning rate: 9.334E-05 | approx flops per GPU: 79.5TFLOPS | lm_loss: 1.990981E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.20 | backward: 3477.25 | backward-backward: 3477.18 | backward-allreduce: 0.00 | optimizer: 144.07 | batch generator: 3.48
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time (ms) | forward: 931.54 | backward: 3458.47 | backward-backward: 3458.40 | backward-allreduce: 0.00 | optimizer: 143.71 | batch generator: 2.28
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time (ms) | forward: 931.35 | backward: 3457.82 | backward-backward: 3457.74 | backward-allreduce: 0.00 | optimizer: 143.99 | batch generator: 2.29
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time (ms) | forward: 932.08 | backward: 3460.02 | backward-backward: 3459.94 | backward-allreduce: 0.00 | optimizer: 144.81 | batch generator: 2.30
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time (ms) | forward: 932.14 | backward: 3456.68 | backward-backward: 3456.60 | backward-allreduce: 0.00 | optimizer: 143.58 | batch generator: 2.32
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time (ms) | forward: 932.41 | backward: 3459.92 | backward-backward: 3459.84 | backward-allreduce: 0.00 | optimizer: 142.36 | batch generator: 2.26
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validation results at iteration 125000 | lm_loss value: 1.944666E+00 | lm_loss_ppl value: 6.991295E+00 |
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samples/sec: 216.255 | iteration 125500/ 143000 | elapsed time per iteration (ms): 4735.1 | learning rate: 8.042E-05 | approx flops per GPU: 79.8TFLOPS | lm_loss: 1.986155E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
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samples/sec: 226.353 | iteration 128500/ 143000 | elapsed time per iteration (ms): 4523.9 | learning rate: 7.413E-05 | approx flops per GPU: 83.6TFLOPS | lm_loss: 1.982671E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.66 | backward: 3444.98 | backward-backward: 3444.91 | backward-allreduce: 0.00 | optimizer: 138.52 | batch generator: 2.32
WARNING: Deleting old checkpoints:
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samples/sec: 225.946 | iteration 129000/ 143000 | elapsed time per iteration (ms): 4532.1 | learning rate: 7.319E-05 | approx flops per GPU: 83.4TFLOPS | lm_loss: 1.982815E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.96 | backward: 3451.04 | backward-backward: 3450.97 | backward-allreduce: 0.00 | optimizer: 140.82 | batch generator: 2.34
WARNING: Deleting old checkpoints:
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samples/sec: 226.182 | iteration 129500/ 143000 | elapsed time per iteration (ms): 4527.3 | learning rate: 7.228E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.979980E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 931.76 | backward: 3447.87 | backward-backward: 3447.80 | backward-allreduce: 0.00 | optimizer: 139.33 | batch generator: 2.35
samples/sec: 226.215 | iteration 130000/ 143000 | elapsed time per iteration (ms): 4526.7 | learning rate: 7.140E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.980654E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
after 130000 iterations memory (MB) | allocated: 6356.6455078125 | max allocated: 16125.47265625 | reserved: 17262.0 | max reserved: 17262.0
time (ms) | forward: 938.54 | backward: 3448.36 | backward-backward: 3448.28 | backward-allreduce: 0.00 | optimizer: 138.30 | batch generator: 2.34
WARNING: Deleting old checkpoints:
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validation results at iteration 130000 | lm_loss value: 1.940109E+00 | lm_loss_ppl value: 6.959507E+00 |
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samples/sec: 216.827 | iteration 130500/ 143000 | elapsed time per iteration (ms): 4722.7 | learning rate: 7.056E-05 | approx flops per GPU: 80.0TFLOPS | lm_loss: 1.980375E+00 | loss scale: 16384.0 | number of skipped iterations: 2 | number of nan iterations: 0 |
time (ms) | forward: 932.71 | backward: 3447.81 | backward-backward: 3447.73 | backward-allreduce: 0.00 | optimizer: 137.99 | batch generator: 2.69
WARNING: Deleting old checkpoints:
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samples/sec: 226.254 | iteration 131000/ 143000 | elapsed time per iteration (ms): 4525.9 | learning rate: 6.975E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.980156E+00 | loss scale: 8192.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.47 | backward: 3447.13 | backward-backward: 3447.05 | backward-allreduce: 0.00 | optimizer: 138.01 | batch generator: 2.32
WARNING: Deleting old checkpoints:
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samples/sec: 226.163 | iteration 131500/ 143000 | elapsed time per iteration (ms): 4527.7 | learning rate: 6.897E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.977921E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.61 | backward: 3448.57 | backward-backward: 3448.50 | backward-allreduce: 0.00 | optimizer: 138.31 | batch generator: 2.30
WARNING: Deleting old checkpoints:
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samples/sec: 226.278 | iteration 132000/ 143000 | elapsed time per iteration (ms): 4525.4 | learning rate: 6.822E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.978234E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.16 | backward: 3446.87 | backward-backward: 3446.80 | backward-allreduce: 0.00 | optimizer: 138.20 | batch generator: 2.28
WARNING: Deleting old checkpoints:
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samples/sec: 226.315 | iteration 132500/ 143000 | elapsed time per iteration (ms): 4524.7 | learning rate: 6.750E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.978484E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.45 | backward: 3445.82 | backward-backward: 3445.75 | backward-allreduce: 0.00 | optimizer: 138.20 | batch generator: 2.31
WARNING: Deleting old checkpoints:
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samples/sec: 226.367 | iteration 133000/ 143000 | elapsed time per iteration (ms): 4523.6 | learning rate: 6.682E-05 | approx flops per GPU: 83.6TFLOPS | lm_loss: 1.976798E+00 | loss scale: 16384.0 | number of skipped iterations: 2 | number of nan iterations: 0 |
time (ms) | forward: 932.16 | backward: 3445.26 | backward-backward: 3445.19 | backward-allreduce: 0.00 | optimizer: 137.67 | batch generator: 2.29
WARNING: Deleting old checkpoints:
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samples/sec: 226.347 | iteration 133500/ 143000 | elapsed time per iteration (ms): 4524.0 | learning rate: 6.616E-05 | approx flops per GPU: 83.6TFLOPS | lm_loss: 1.976104E+00 | loss scale: 8192.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.37 | backward: 3445.61 | backward-backward: 3445.54 | backward-allreduce: 0.00 | optimizer: 137.96 | batch generator: 2.29
WARNING: Deleting old checkpoints:
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samples/sec: 226.304 | iteration 134000/ 143000 | elapsed time per iteration (ms): 4524.9 | learning rate: 6.555E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.975728E+00 | loss scale: 4096.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.21 | backward: 3446.62 | backward-backward: 3446.55 | backward-allreduce: 0.00 | optimizer: 137.98 | batch generator: 2.29
WARNING: Deleting old checkpoints:
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samples/sec: 226.213 | iteration 134500/ 143000 | elapsed time per iteration (ms): 4526.7 | learning rate: 6.496E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.976804E+00 | loss scale: 4096.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.42 | backward: 3447.29 | backward-backward: 3447.21 | backward-allreduce: 0.00 | optimizer: 138.36 | batch generator: 2.30
WARNING: Deleting old checkpoints:
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samples/sec: 225.753 | iteration 135000/ 143000 | elapsed time per iteration (ms): 4535.9 | learning rate: 6.440E-05 | approx flops per GPU: 83.3TFLOPS | lm_loss: 1.979001E+00 | loss scale: 2048.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.16 | backward: 3448.04 | backward-backward: 3447.97 | backward-allreduce: 0.00 | optimizer: 137.94 | batch generator: 2.33
WARNING: Deleting old checkpoints:
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validation results at iteration 135000 | lm_loss value: 1.938240E+00 | lm_loss_ppl value: 6.946512E+00 |
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samples/sec: 216.839 | iteration 135500/ 143000 | elapsed time per iteration (ms): 4722.4 | learning rate: 6.388E-05 | approx flops per GPU: 80.1TFLOPS | lm_loss: 1.978531E+00 | loss scale: 2048.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.46 | backward: 3448.34 | backward-backward: 3448.27 | backward-allreduce: 0.00 | optimizer: 138.42 | batch generator: 2.78
WARNING: Deleting old checkpoints:
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samples/sec: 226.258 | iteration 136000/ 143000 | elapsed time per iteration (ms): 4525.8 | learning rate: 6.339E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.979827E+00 | loss scale: 4096.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.18 | backward: 3447.08 | backward-backward: 3447.01 | backward-allreduce: 0.00 | optimizer: 138.30 | batch generator: 2.30
WARNING: Deleting old checkpoints:
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samples/sec: 226.261 | iteration 136500/ 143000 | elapsed time per iteration (ms): 4525.7 | learning rate: 6.293E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.976965E+00 | loss scale: 4096.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.47 | backward: 3446.74 | backward-backward: 3446.67 | backward-allreduce: 0.00 | optimizer: 138.28 | batch generator: 2.31
WARNING: Deleting old checkpoints:
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samples/sec: 226.281 | iteration 137000/ 143000 | elapsed time per iteration (ms): 4525.4 | learning rate: 6.251E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.978071E+00 | loss scale: 8192.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.32 | backward: 3446.61 | backward-backward: 3446.54 | backward-allreduce: 0.00 | optimizer: 138.16 | batch generator: 2.35
WARNING: Deleting old checkpoints:
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samples/sec: 226.271 | iteration 137500/ 143000 | elapsed time per iteration (ms): 4525.5 | learning rate: 6.212E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.975112E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.47 | backward: 3446.24 | backward-backward: 3446.17 | backward-allreduce: 0.00 | optimizer: 138.49 | batch generator: 2.29
samples/sec: 226.344 | iteration 138000/ 143000 | elapsed time per iteration (ms): 4524.1 | learning rate: 6.176E-05 | approx flops per GPU: 83.6TFLOPS | lm_loss: 1.973767E+00 | loss scale: 16384.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.21 | backward: 3445.70 | backward-backward: 3445.62 | backward-allreduce: 0.00 | optimizer: 138.04 | batch generator: 2.28
WARNING: Deleting old checkpoints:
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samples/sec: 226.317 | iteration 138500/ 143000 | elapsed time per iteration (ms): 4524.6 | learning rate: 6.144E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.975881E+00 | loss scale: 8192.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.38 | backward: 3445.91 | backward-backward: 3445.84 | backward-allreduce: 0.00 | optimizer: 138.03 | batch generator: 2.28
WARNING: Deleting old checkpoints:
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samples/sec: 226.304 | iteration 139000/ 143000 | elapsed time per iteration (ms): 4524.9 | learning rate: 6.115E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.974844E+00 | loss scale: 4096.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.15 | backward: 3446.45 | backward-backward: 3446.37 | backward-allreduce: 0.00 | optimizer: 138.04 | batch generator: 2.27
WARNING: Deleting old checkpoints:
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samples/sec: 226.245 | iteration 139500/ 143000 | elapsed time per iteration (ms): 4526.1 | learning rate: 6.089E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.974050E+00 | loss scale: 4096.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.40 | backward: 3446.90 | backward-backward: 3446.83 | backward-allreduce: 0.00 | optimizer: 138.50 | batch generator: 2.26
WARNING: Deleting old checkpoints:
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samples/sec: 226.308 | iteration 140000/ 143000 | elapsed time per iteration (ms): 4524.8 | learning rate: 6.066E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.973476E+00 | loss scale: 8192.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.18 | backward: 3446.36 | backward-backward: 3446.29 | backward-allreduce: 0.00 | optimizer: 138.04 | batch generator: 2.24
WARNING: Deleting old checkpoints:
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validation results at iteration 140000 | lm_loss value: 1.933604E+00 | lm_loss_ppl value: 6.914384E+00 |
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samples/sec: 216.940 | iteration 140500/ 143000 | elapsed time per iteration (ms): 4720.2 | learning rate: 6.047E-05 | approx flops per GPU: 80.1TFLOPS | lm_loss: 1.973758E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.43 | backward: 3446.15 | backward-backward: 3446.07 | backward-allreduce: 0.00 | optimizer: 138.39 | batch generator: 2.64
WARNING: Deleting old checkpoints:
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samples/sec: 226.321 | iteration 141000/ 143000 | elapsed time per iteration (ms): 4524.6 | learning rate: 6.031E-05 | approx flops per GPU: 83.6TFLOPS | lm_loss: 1.973787E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.29 | backward: 3445.49 | backward-backward: 3445.42 | backward-allreduce: 0.00 | optimizer: 138.58 | batch generator: 2.28
WARNING: Deleting old checkpoints:
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samples/sec: 226.332 | iteration 141500/ 143000 | elapsed time per iteration (ms): 4524.3 | learning rate: 6.018E-05 | approx flops per GPU: 83.6TFLOPS | lm_loss: 1.972484E+00 | loss scale: 16384.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.51 | backward: 3445.27 | backward-backward: 3445.20 | backward-allreduce: 0.00 | optimizer: 138.29 | batch generator: 2.27
WARNING: Deleting old checkpoints:
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samples/sec: 226.337 | iteration 142000/ 143000 | elapsed time per iteration (ms): 4524.2 | learning rate: 6.009E-05 | approx flops per GPU: 83.6TFLOPS | lm_loss: 1.973384E+00 | loss scale: 16384.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.25 | backward: 3445.18 | backward-backward: 3445.10 | backward-allreduce: 0.00 | optimizer: 138.55 | batch generator: 2.28
WARNING: Deleting old checkpoints:
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samples/sec: 226.311 | iteration 142500/ 143000 | elapsed time per iteration (ms): 4524.7 | learning rate: 6.003E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.971734E+00 | loss scale: 8192.0 | number of skipped iterations: 1 | number of nan iterations: 0 |
time (ms) | forward: 932.45 | backward: 3445.57 | backward-backward: 3445.50 | backward-allreduce: 0.00 | optimizer: 138.36 | batch generator: 2.27
WARNING: Deleting old checkpoints:
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samples/sec: 226.315 | iteration 143000/ 143000 | elapsed time per iteration (ms): 4524.7 | learning rate: 6.000E-05 | approx flops per GPU: 83.5TFLOPS | lm_loss: 1.971988E+00 | loss scale: 8192.0 | number of skipped iterations: 0 | number of nan iterations: 0 |
time (ms) | forward: 932.27 | backward: 3445.57 | backward-backward: 3445.50 | backward-allreduce: 0.00 | optimizer: 138.65 | batch generator: 2.26
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validation results at the end of training for val data | lm_loss value: 1.933715E+00 | lm_loss_ppl value: 6.915151E+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: 1.927591E+00 | lm_loss_ppl value: 6.872936E+00 |
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