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tangled-alpha-0.4-core

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@@ -62,7 +62,57 @@ CUDA_VISIBLE_DEVICES=0 CUDA_LAUNCH_BLOCKING=0 PYTORCH_CUDA_ALLOC_CONF=expandable
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  ```
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # ...
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  Backup `wandb`:
 
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  ```
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  ```
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+ Seed set to 23
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+ Time to instantiate model: 0.23 seconds.
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+ Total parameters: 185,631,232
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+ Verifying settings ...
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+ Measured TFLOPs: 7047.32
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+ Epoch 1 | iter 256 step 1 | loss train: 11.714, val: n/a | iter time: 370.39 ms (step) remaining time: 4 days, 1:24:16
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+ Epoch 1 | iter 512 step 2 | loss train: 11.711, val: n/a | iter time: 311.97 ms (step) remaining time: 3 days, 8:48:48
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+ Epoch 1 | iter 768 step 3 | loss train: 11.708, val: n/a | iter time: 313.48 ms (step) remaining time: 3 days, 3:22:46
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+ Epoch 1 | iter 1024 step 4 | loss train: 11.704, val: n/a | iter time: 313.71 ms (step) remaining time: 3 days, 0:41:32
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+ Epoch 1 | iter 1280 step 5 | loss train: 11.694, val: n/a | iter time: 314.42 ms (step) remaining time: 2 days, 23:05:08
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+ Epoch 1 | iter 1536 step 6 | loss train: 11.687, val: n/a | iter time: 314.62 ms (step) remaining time: 2 days, 22:00:35
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+ Epoch 1 | iter 1792 step 7 | loss train: 11.668, val: n/a | iter time: 314.94 ms (step) remaining time: 2 days, 21:14:06
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+ Epoch 1 | iter 2048 step 8 | loss train: 11.645, val: n/a | iter time: 316.28 ms (step) remaining time: 2 days, 20:39:12
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+ Epoch 1 | iter 2304 step 9 | loss train: 11.630, val: n/a | iter time: 315.29 ms (step) remaining time: 2 days, 20:11:52
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+ Epoch 1 | iter 2560 step 10 | loss train: 11.609, val: n/a | iter time: 315.53 ms (step) remaining time: 2 days, 19:49:36
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+ Epoch 1 | iter 2816 step 11 | loss train: 11.564, val: n/a | iter time: 314.95 ms (step) remaining time: 2 days, 19:31:09
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+ Epoch 1 | iter 3072 step 12 | loss train: 11.510, val: n/a | iter time: 314.23 ms (step) remaining time: 2 days, 19:15:24
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+ Epoch 1 | iter 3328 step 13 | loss train: 11.453, val: n/a | iter time: 315.71 ms (step) remaining time: 2 days, 19:02:02
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+ Epoch 1 | iter 3584 step 14 | loss train: 11.411, val: n/a | iter time: 316.43 ms (step) remaining time: 2 days, 18:50:24
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+ Epoch 1 | iter 3840 step 15 | loss train: 11.346, val: n/a | iter time: 314.83 ms (step) remaining time: 2 days, 18:40:08
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+ Epoch 1 | iter 4096 step 16 | loss train: 11.300, val: n/a | iter time: 314.94 ms (step) remaining time: 2 days, 18:30:57
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+ Epoch 1 | iter 4352 step 17 | loss train: 11.237, val: n/a | iter time: 314.13 ms (step) remaining time: 2 days, 18:22:39
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+ Epoch 1 | iter 4608 step 18 | loss train: 11.193, val: n/a | iter time: 314.85 ms (step) remaining time: 2 days, 18:15:08
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+ Epoch 1 | iter 4864 step 19 | loss train: 11.131, val: n/a | iter time: 315.23 ms (step) remaining time: 2 days, 18:08:16
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+ Epoch 1 | iter 5120 step 20 | loss train: 11.084, val: n/a | iter time: 314.08 ms (step) remaining time: 2 days, 18:03:14
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  # ...
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+ Epoch 1 | iter 780800 step 3050 | loss train: 3.176, val: 3.554 | iter time: 314.97 ms (step) remaining time: 0:15:21
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+ Epoch 1 | iter 781056 step 3051 | loss train: 3.207, val: 3.554 | iter time: 315.53 ms (step) remaining time: 0:14:05
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+ Epoch 1 | iter 781312 step 3052 | loss train: 3.186, val: 3.554 | iter time: 315.74 ms (step) remaining time: 0:12:48
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+ Epoch 1 | iter 781568 step 3053 | loss train: 3.189, val: 3.554 | iter time: 315.17 ms (step) remaining time: 0:11:32
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+ Epoch 1 | iter 781824 step 3054 | loss train: 3.305, val: 3.554 | iter time: 315.29 ms (step) remaining time: 0:10:15
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+ Epoch 1 | iter 782080 step 3055 | loss train: 3.173, val: 3.554 | iter time: 315.11 ms (step) remaining time: 0:08:59
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+ Epoch 1 | iter 782336 step 3056 | loss train: 3.223, val: 3.554 | iter time: 315.35 ms (step) remaining time: 0:07:42
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+ Epoch 1 | iter 782592 step 3057 | loss train: 3.182, val: 3.554 | iter time: 315.18 ms (step) remaining time: 0:06:26
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+ Epoch 1 | iter 782848 step 3058 | loss train: 3.196, val: 3.554 | iter time: 316.37 ms (step) remaining time: 0:05:09
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+ Epoch 1 | iter 783104 step 3059 | loss train: 3.187, val: 3.554 | iter time: 315.86 ms (step) remaining time: 0:03:53
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+ Epoch 1 | iter 783360 step 3060 | loss train: 3.163, val: 3.554 | iter time: 314.81 ms (step) remaining time: 0:02:36
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+ Epoch 1 | iter 783616 step 3061 | loss train: 3.190, val: 3.554 | iter time: 315.23 ms (step) remaining time: 0:01:20
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+ Epoch 2 | iter 783872 step 3062 | loss train: 3.239, val: 3.554 | iter time: 317.71 ms (step) remaining time: 0:00:03
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+ Validating ...
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+ Final evaluation | val loss: 3.552 | val ppl: 34.896
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+ Saving checkpoint to '../out/pretrain-core/final/lit_model.pth'
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+ ----------------------------------------
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+ | Performance
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+ | - Total tokens : 6,421,577,728
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+ | - Training Time : 234340.96 s
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+ | - Tok/sec : 17286.07 tok/s
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+ | ----------------------------------------
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+ | Memory Usage
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+ | - Memory Used : 17.30 GB
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+ ----------------------------------------
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  ```
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  Backup `wandb`: