Upload folder using huggingface_hub
Browse files- furry/aro/aro41/configs/config.json +114 -0
- furry/aro/aro41/configs/diffusion.yaml +58 -0
- furry/aro/aro41/dataset.zip +3 -0
- furry/aro/aro41/filelists/train.txt +2134 -0
- furry/aro/aro41/filelists/val.txt +16 -0
- furry/aro/aro41/logs/44k/D_0.pth +3 -0
- furry/aro/aro41/logs/44k/D_1600.pth +3 -0
- furry/aro/aro41/logs/44k/D_800.pth +3 -0
- furry/aro/aro41/logs/44k/G_0.pth +3 -0
- furry/aro/aro41/logs/44k/G_1600.pth +3 -0
- furry/aro/aro41/logs/44k/G_800.pth +3 -0
- furry/aro/aro41/logs/44k/config.json +114 -0
- furry/aro/aro41/logs/44k/diffusion/config.yaml +58 -0
- furry/aro/aro41/logs/44k/diffusion/log_info.txt +685 -0
- furry/aro/aro41/logs/44k/diffusion/logs/events.out.tfevents.1692279494.6b26460b6557.23381.0 +3 -0
- furry/aro/aro41/logs/44k/diffusion/model_0.pt +3 -0
- furry/aro/aro41/logs/44k/diffusion/model_6000.pt +3 -0
- furry/aro/aro41/logs/44k/eval/events.out.tfevents.1692285730.6b26460b6557.49685.1 +3 -0
- furry/aro/aro41/logs/44k/events.out.tfevents.1692285730.6b26460b6557.49685.0 +3 -0
- furry/aro/aro41/logs/44k/githash +1 -0
- furry/aro/aro41/logs/44k/train.log +30 -0
furry/aro/aro41/configs/config.json
ADDED
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{
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"train": {
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"log_interval": 200,
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| 4 |
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"eval_interval": 800,
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"seed": 1234,
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| 6 |
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"epochs": 10000,
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"learning_rate": 0.0001,
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"betas": [
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0.8,
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0.99
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],
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"eps": 1e-09,
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"batch_size": 6,
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"fp16_run": false,
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"half_type": "fp16",
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| 16 |
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"lr_decay": 0.999875,
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| 17 |
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"segment_size": 10240,
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| 18 |
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"init_lr_ratio": 1,
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| 19 |
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"warmup_epochs": 0,
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| 20 |
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"c_mel": 45,
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| 21 |
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"c_kl": 1.0,
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| 22 |
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"use_sr": true,
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| 23 |
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"max_speclen": 512,
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| 24 |
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"port": "8001",
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| 25 |
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"keep_ckpts": 3,
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| 26 |
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"all_in_mem": false,
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| 27 |
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"vol_aug": true
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| 28 |
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},
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| 29 |
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"data": {
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| 30 |
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"training_files": "filelists/train.txt",
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| 31 |
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"validation_files": "filelists/val.txt",
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| 32 |
+
"max_wav_value": 32768.0,
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| 33 |
+
"sampling_rate": 44100,
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| 34 |
+
"filter_length": 2048,
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| 35 |
+
"hop_length": 512,
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| 36 |
+
"win_length": 2048,
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| 37 |
+
"n_mel_channels": 80,
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| 38 |
+
"mel_fmin": 0.0,
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| 39 |
+
"mel_fmax": 22050,
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| 40 |
+
"unit_interpolate_mode": "nearest"
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| 41 |
+
},
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| 42 |
+
"model": {
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| 43 |
+
"inter_channels": 192,
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| 44 |
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"hidden_channels": 192,
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| 45 |
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"filter_channels": 768,
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| 46 |
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"n_heads": 2,
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| 47 |
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"n_layers": 6,
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| 48 |
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"kernel_size": 3,
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| 49 |
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"p_dropout": 0.1,
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| 50 |
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"resblock": "1",
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| 51 |
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"resblock_kernel_sizes": [
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| 52 |
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3,
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| 53 |
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7,
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| 54 |
+
11
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| 55 |
+
],
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| 56 |
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"resblock_dilation_sizes": [
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| 57 |
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[
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| 58 |
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1,
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| 59 |
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3,
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| 60 |
+
5
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| 61 |
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],
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| 62 |
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[
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| 63 |
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1,
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| 64 |
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3,
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| 65 |
+
5
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| 66 |
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],
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| 67 |
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[
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| 68 |
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1,
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| 69 |
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3,
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| 70 |
+
5
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| 71 |
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]
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| 72 |
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],
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| 73 |
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"upsample_rates": [
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| 74 |
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8,
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| 75 |
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8,
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| 76 |
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2,
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| 77 |
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2,
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| 78 |
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2
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| 79 |
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],
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| 80 |
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"upsample_initial_channel": 512,
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| 81 |
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"upsample_kernel_sizes": [
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| 82 |
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16,
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| 83 |
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16,
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| 84 |
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4,
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| 85 |
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4,
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| 86 |
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4
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| 87 |
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],
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| 88 |
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"n_layers_q": 3,
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| 89 |
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"n_layers_trans_flow": 3,
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| 90 |
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"n_flow_layer": 4,
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| 91 |
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"use_spectral_norm": false,
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| 92 |
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"gin_channels": 768,
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| 93 |
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"ssl_dim": 768,
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| 94 |
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"n_speakers": 8,
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| 95 |
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"vocoder_name": "nsf-hifigan",
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| 96 |
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"speech_encoder": "vec768l12",
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| 97 |
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"speaker_embedding": false,
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| 98 |
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"vol_embedding": true,
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| 99 |
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"use_depthwise_conv": false,
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| 100 |
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"flow_share_parameter": false,
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| 101 |
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"use_automatic_f0_prediction": true,
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| 102 |
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"use_transformer_flow": false
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| 103 |
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},
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| 104 |
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"spk": {
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| 105 |
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"aro_sweet": 0,
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| 106 |
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"aro_normal": 1,
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| 107 |
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"aro_light": 2,
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| 108 |
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"aro_whisper": 3,
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| 109 |
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"aro_tender": 4,
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| 110 |
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"aro_power": 5,
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| 111 |
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"aro_dark": 6,
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| 112 |
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"aro_adult": 7
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| 113 |
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}
|
| 114 |
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}
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furry/aro/aro41/configs/diffusion.yaml
ADDED
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@@ -0,0 +1,58 @@
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| 1 |
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data:
|
| 2 |
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block_size: 512
|
| 3 |
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cnhubertsoft_gate: 10
|
| 4 |
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duration: 2
|
| 5 |
+
encoder: vec768l12
|
| 6 |
+
encoder_hop_size: 320
|
| 7 |
+
encoder_out_channels: 768
|
| 8 |
+
encoder_sample_rate: 16000
|
| 9 |
+
extensions:
|
| 10 |
+
- wav
|
| 11 |
+
sampling_rate: 44100
|
| 12 |
+
training_files: filelists/train.txt
|
| 13 |
+
unit_interpolate_mode: nearest
|
| 14 |
+
validation_files: filelists/val.txt
|
| 15 |
+
device: cuda
|
| 16 |
+
env:
|
| 17 |
+
expdir: logs/44k/diffusion
|
| 18 |
+
gpu_id: 0
|
| 19 |
+
infer:
|
| 20 |
+
method: dpm-solver++
|
| 21 |
+
speedup: 10
|
| 22 |
+
model:
|
| 23 |
+
k_step_max: 0
|
| 24 |
+
n_chans: 512
|
| 25 |
+
n_hidden: 256
|
| 26 |
+
n_layers: 20
|
| 27 |
+
n_spk: 8
|
| 28 |
+
timesteps: 1000
|
| 29 |
+
type: Diffusion
|
| 30 |
+
use_pitch_aug: true
|
| 31 |
+
spk:
|
| 32 |
+
aro_adult: 7
|
| 33 |
+
aro_dark: 6
|
| 34 |
+
aro_light: 2
|
| 35 |
+
aro_normal: 1
|
| 36 |
+
aro_power: 5
|
| 37 |
+
aro_sweet: 0
|
| 38 |
+
aro_tender: 4
|
| 39 |
+
aro_whisper: 3
|
| 40 |
+
train:
|
| 41 |
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amp_dtype: fp32
|
| 42 |
+
batch_size: 48
|
| 43 |
+
cache_all_data: true
|
| 44 |
+
cache_device: cpu
|
| 45 |
+
cache_fp16: true
|
| 46 |
+
decay_step: 100000
|
| 47 |
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epochs: 100000
|
| 48 |
+
gamma: 0.5
|
| 49 |
+
interval_force_save: 5000
|
| 50 |
+
interval_log: 10
|
| 51 |
+
interval_val: 2000
|
| 52 |
+
lr: 0.0001
|
| 53 |
+
num_workers: 4
|
| 54 |
+
save_opt: false
|
| 55 |
+
weight_decay: 0
|
| 56 |
+
vocoder:
|
| 57 |
+
ckpt: pretrain/nsf_hifigan/model
|
| 58 |
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type: nsf-hifigan
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furry/aro/aro41/dataset.zip
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ad9b52d276842857f5e3396ac7af5eccea03361d82a1e795944bb843a5a51da
|
| 3 |
+
size 5995652769
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furry/aro/aro41/filelists/train.txt
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@@ -0,0 +1,2134 @@
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./dataset/44k/aro_dark/ard_145.wav
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./dataset/44k/aro_normal/ly1_135.wav
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|
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./dataset/44k/aro_tender/art2_51.wav
|
furry/aro/aro41/filelists/val.txt
ADDED
|
@@ -0,0 +1,16 @@
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|
| 1 |
+
./dataset/44k/aro_whisper/arw_111.wav
|
| 2 |
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./dataset/44k/aro_normal/ly1_60.wav
|
| 3 |
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./dataset/44k/aro_adult/ara_104.wav
|
| 4 |
+
./dataset/44k/aro_whisper/arw_152.wav
|
| 5 |
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./dataset/44k/aro_power/arp3_108.wav
|
| 6 |
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./dataset/44k/aro_light/arl_138.wav
|
| 7 |
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./dataset/44k/aro_tender/art2_63.wav
|
| 8 |
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./dataset/44k/aro_dark/ard_38.wav
|
| 9 |
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./dataset/44k/aro_power/arp2_79.wav
|
| 10 |
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./dataset/44k/aro_tender/art1_150.wav
|
| 11 |
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./dataset/44k/aro_light/arl_137.wav
|
| 12 |
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./dataset/44k/aro_normal/ly4_118.wav
|
| 13 |
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./dataset/44k/aro_adult/ara_4.wav
|
| 14 |
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./dataset/44k/aro_sweet/ars_7.wav
|
| 15 |
+
./dataset/44k/aro_sweet/ars_27.wav
|
| 16 |
+
./dataset/44k/aro_dark/ard_39.wav
|
furry/aro/aro41/logs/44k/D_0.pth
ADDED
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furry/aro/aro41/logs/44k/D_1600.pth
ADDED
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furry/aro/aro41/logs/44k/D_800.pth
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version https://git-lfs.github.com/spec/v1
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furry/aro/aro41/logs/44k/G_0.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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size 209268661
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furry/aro/aro41/logs/44k/G_1600.pth
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version https://git-lfs.github.com/spec/v1
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furry/aro/aro41/logs/44k/G_800.pth
ADDED
|
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version https://git-lfs.github.com/spec/v1
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|
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size 627917001
|
furry/aro/aro41/logs/44k/config.json
ADDED
|
@@ -0,0 +1,114 @@
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|
| 1 |
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{
|
| 2 |
+
"train": {
|
| 3 |
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"log_interval": 200,
|
| 4 |
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"eval_interval": 800,
|
| 5 |
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"seed": 1234,
|
| 6 |
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"epochs": 10000,
|
| 7 |
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"learning_rate": 0.0001,
|
| 8 |
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"betas": [
|
| 9 |
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0.8,
|
| 10 |
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0.99
|
| 11 |
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],
|
| 12 |
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"eps": 1e-09,
|
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"batch_size": 6,
|
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"fp16_run": false,
|
| 15 |
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"half_type": "fp16",
|
| 16 |
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"lr_decay": 0.999875,
|
| 17 |
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"segment_size": 10240,
|
| 18 |
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"init_lr_ratio": 1,
|
| 19 |
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"warmup_epochs": 0,
|
| 20 |
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"c_mel": 45,
|
| 21 |
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"c_kl": 1.0,
|
| 22 |
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"use_sr": true,
|
| 23 |
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"max_speclen": 512,
|
| 24 |
+
"port": "8001",
|
| 25 |
+
"keep_ckpts": 3,
|
| 26 |
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"all_in_mem": false,
|
| 27 |
+
"vol_aug": true
|
| 28 |
+
},
|
| 29 |
+
"data": {
|
| 30 |
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"training_files": "filelists/train.txt",
|
| 31 |
+
"validation_files": "filelists/val.txt",
|
| 32 |
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"max_wav_value": 32768.0,
|
| 33 |
+
"sampling_rate": 44100,
|
| 34 |
+
"filter_length": 2048,
|
| 35 |
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"hop_length": 512,
|
| 36 |
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"win_length": 2048,
|
| 37 |
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"n_mel_channels": 80,
|
| 38 |
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"mel_fmin": 0.0,
|
| 39 |
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"mel_fmax": 22050,
|
| 40 |
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"unit_interpolate_mode": "nearest"
|
| 41 |
+
},
|
| 42 |
+
"model": {
|
| 43 |
+
"inter_channels": 192,
|
| 44 |
+
"hidden_channels": 192,
|
| 45 |
+
"filter_channels": 768,
|
| 46 |
+
"n_heads": 2,
|
| 47 |
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"n_layers": 6,
|
| 48 |
+
"kernel_size": 3,
|
| 49 |
+
"p_dropout": 0.1,
|
| 50 |
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"resblock": "1",
|
| 51 |
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"resblock_kernel_sizes": [
|
| 52 |
+
3,
|
| 53 |
+
7,
|
| 54 |
+
11
|
| 55 |
+
],
|
| 56 |
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"resblock_dilation_sizes": [
|
| 57 |
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[
|
| 58 |
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|
| 59 |
+
3,
|
| 60 |
+
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|
| 61 |
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],
|
| 62 |
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[
|
| 63 |
+
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|
| 64 |
+
3,
|
| 65 |
+
5
|
| 66 |
+
],
|
| 67 |
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[
|
| 68 |
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|
| 69 |
+
3,
|
| 70 |
+
5
|
| 71 |
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]
|
| 72 |
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],
|
| 73 |
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"upsample_rates": [
|
| 74 |
+
8,
|
| 75 |
+
8,
|
| 76 |
+
2,
|
| 77 |
+
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|
| 78 |
+
2
|
| 79 |
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],
|
| 80 |
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"upsample_initial_channel": 512,
|
| 81 |
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"upsample_kernel_sizes": [
|
| 82 |
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16,
|
| 83 |
+
16,
|
| 84 |
+
4,
|
| 85 |
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4,
|
| 86 |
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4
|
| 87 |
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],
|
| 88 |
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"n_layers_q": 3,
|
| 89 |
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"n_layers_trans_flow": 3,
|
| 90 |
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"n_flow_layer": 4,
|
| 91 |
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"use_spectral_norm": false,
|
| 92 |
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"gin_channels": 768,
|
| 93 |
+
"ssl_dim": 768,
|
| 94 |
+
"n_speakers": 8,
|
| 95 |
+
"vocoder_name": "nsf-hifigan",
|
| 96 |
+
"speech_encoder": "vec768l12",
|
| 97 |
+
"speaker_embedding": false,
|
| 98 |
+
"vol_embedding": true,
|
| 99 |
+
"use_depthwise_conv": false,
|
| 100 |
+
"flow_share_parameter": false,
|
| 101 |
+
"use_automatic_f0_prediction": true,
|
| 102 |
+
"use_transformer_flow": false
|
| 103 |
+
},
|
| 104 |
+
"spk": {
|
| 105 |
+
"aro_sweet": 0,
|
| 106 |
+
"aro_normal": 1,
|
| 107 |
+
"aro_light": 2,
|
| 108 |
+
"aro_whisper": 3,
|
| 109 |
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"aro_tender": 4,
|
| 110 |
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"aro_power": 5,
|
| 111 |
+
"aro_dark": 6,
|
| 112 |
+
"aro_adult": 7
|
| 113 |
+
}
|
| 114 |
+
}
|
furry/aro/aro41/logs/44k/diffusion/config.yaml
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
data:
|
| 2 |
+
block_size: 512
|
| 3 |
+
cnhubertsoft_gate: 10
|
| 4 |
+
duration: 2
|
| 5 |
+
encoder: vec768l12
|
| 6 |
+
encoder_hop_size: 320
|
| 7 |
+
encoder_out_channels: 768
|
| 8 |
+
encoder_sample_rate: 16000
|
| 9 |
+
extensions:
|
| 10 |
+
- wav
|
| 11 |
+
sampling_rate: 44100
|
| 12 |
+
training_files: filelists/train.txt
|
| 13 |
+
unit_interpolate_mode: nearest
|
| 14 |
+
validation_files: filelists/val.txt
|
| 15 |
+
device: cuda
|
| 16 |
+
env:
|
| 17 |
+
expdir: logs/44k/diffusion
|
| 18 |
+
gpu_id: 0
|
| 19 |
+
infer:
|
| 20 |
+
method: dpm-solver++
|
| 21 |
+
speedup: 10
|
| 22 |
+
model:
|
| 23 |
+
k_step_max: 0
|
| 24 |
+
n_chans: 512
|
| 25 |
+
n_hidden: 256
|
| 26 |
+
n_layers: 20
|
| 27 |
+
n_spk: 8
|
| 28 |
+
timesteps: 1000
|
| 29 |
+
type: Diffusion
|
| 30 |
+
use_pitch_aug: true
|
| 31 |
+
spk:
|
| 32 |
+
aro_adult: 7
|
| 33 |
+
aro_dark: 6
|
| 34 |
+
aro_light: 2
|
| 35 |
+
aro_normal: 1
|
| 36 |
+
aro_power: 5
|
| 37 |
+
aro_sweet: 0
|
| 38 |
+
aro_tender: 4
|
| 39 |
+
aro_whisper: 3
|
| 40 |
+
train:
|
| 41 |
+
amp_dtype: fp32
|
| 42 |
+
batch_size: 48
|
| 43 |
+
cache_all_data: true
|
| 44 |
+
cache_device: cpu
|
| 45 |
+
cache_fp16: true
|
| 46 |
+
decay_step: 100000
|
| 47 |
+
epochs: 100000
|
| 48 |
+
gamma: 0.5
|
| 49 |
+
interval_force_save: 5000
|
| 50 |
+
interval_log: 10
|
| 51 |
+
interval_val: 2000
|
| 52 |
+
lr: 0.0001
|
| 53 |
+
num_workers: 4
|
| 54 |
+
save_opt: false
|
| 55 |
+
weight_decay: 0
|
| 56 |
+
vocoder:
|
| 57 |
+
ckpt: pretrain/nsf_hifigan/model
|
| 58 |
+
type: nsf-hifigan
|
furry/aro/aro41/logs/44k/diffusion/log_info.txt
ADDED
|
@@ -0,0 +1,685 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
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|
|
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|
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| 1 |
+
--- model size ---
|
| 2 |
+
model: 55,194,752
|
| 3 |
+
======= start training =======
|
| 4 |
+
epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step
|
| 5 |
+
epoch: 0 | 9/ 45 | logs/44k/diffusion | batch/s: 0.57 | lr: 0.0001 | loss: 0.035 | time: 0:00:18.1 | step: 10
|
| 6 |
+
epoch: 0 | 19/ 45 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0001 | loss: 0.058 | time: 0:00:26.1 | step: 20
|
| 7 |
+
epoch: 0 | 29/ 45 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0001 | loss: 0.029 | time: 0:00:34.1 | step: 30
|
| 8 |
+
epoch: 0 | 39/ 45 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0001 | loss: 0.014 | time: 0:00:42.3 | step: 40
|
| 9 |
+
epoch: 1 | 4/ 45 | logs/44k/diffusion | batch/s: 1.29 | lr: 0.0001 | loss: 0.019 | time: 0:00:50.1 | step: 50
|
| 10 |
+
epoch: 1 | 14/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.023 | time: 0:00:58.4 | step: 60
|
| 11 |
+
epoch: 1 | 24/ 45 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0001 | loss: 0.045 | time: 0:01:06.9 | step: 70
|
| 12 |
+
epoch: 1 | 34/ 45 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0001 | loss: 0.023 | time: 0:01:15.5 | step: 80
|
| 13 |
+
epoch: 1 | 44/ 45 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0001 | loss: 0.027 | time: 0:01:23.6 | step: 90
|
| 14 |
+
epoch: 2 | 9/ 45 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0001 | loss: 0.024 | time: 0:01:32.5 | step: 100
|
| 15 |
+
epoch: 2 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 0:01:41.3 | step: 110
|
| 16 |
+
epoch: 2 | 29/ 45 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0001 | loss: 0.019 | time: 0:01:50.4 | step: 120
|
| 17 |
+
epoch: 2 | 39/ 45 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0001 | loss: 0.025 | time: 0:01:59.5 | step: 130
|
| 18 |
+
epoch: 3 | 4/ 45 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0001 | loss: 0.027 | time: 0:02:08.1 | step: 140
|
| 19 |
+
epoch: 3 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.025 | time: 0:02:17.0 | step: 150
|
| 20 |
+
epoch: 3 | 24/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.021 | time: 0:02:25.8 | step: 160
|
| 21 |
+
epoch: 3 | 34/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.015 | time: 0:02:34.5 | step: 170
|
| 22 |
+
epoch: 3 | 44/ 45 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0001 | loss: 0.007 | time: 0:02:42.7 | step: 180
|
| 23 |
+
epoch: 4 | 9/ 45 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0001 | loss: 0.043 | time: 0:02:51.6 | step: 190
|
| 24 |
+
epoch: 4 | 19/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.021 | time: 0:03:00.4 | step: 200
|
| 25 |
+
epoch: 4 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.025 | time: 0:03:09.2 | step: 210
|
| 26 |
+
epoch: 4 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 0:03:18.2 | step: 220
|
| 27 |
+
epoch: 5 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.034 | time: 0:03:26.6 | step: 230
|
| 28 |
+
epoch: 5 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.016 | time: 0:03:35.5 | step: 240
|
| 29 |
+
epoch: 5 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 0:03:44.4 | step: 250
|
| 30 |
+
epoch: 5 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.010 | time: 0:03:53.3 | step: 260
|
| 31 |
+
epoch: 5 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.012 | time: 0:04:01.7 | step: 270
|
| 32 |
+
epoch: 6 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.012 | time: 0:04:10.7 | step: 280
|
| 33 |
+
epoch: 6 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.029 | time: 0:04:19.5 | step: 290
|
| 34 |
+
epoch: 6 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 0:04:28.4 | step: 300
|
| 35 |
+
epoch: 6 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 0:04:37.3 | step: 310
|
| 36 |
+
epoch: 7 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.034 | time: 0:04:45.7 | step: 320
|
| 37 |
+
epoch: 7 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:04:54.6 | step: 330
|
| 38 |
+
epoch: 7 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.006 | time: 0:05:03.5 | step: 340
|
| 39 |
+
epoch: 7 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.010 | time: 0:05:12.4 | step: 350
|
| 40 |
+
epoch: 7 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.011 | time: 0:05:20.8 | step: 360
|
| 41 |
+
epoch: 8 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.029 | time: 0:05:29.8 | step: 370
|
| 42 |
+
epoch: 8 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:05:38.7 | step: 380
|
| 43 |
+
epoch: 8 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 0:05:47.6 | step: 390
|
| 44 |
+
epoch: 8 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:05:56.5 | step: 400
|
| 45 |
+
epoch: 9 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.011 | time: 0:06:04.9 | step: 410
|
| 46 |
+
epoch: 9 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.025 | time: 0:06:13.8 | step: 420
|
| 47 |
+
epoch: 9 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.027 | time: 0:06:22.6 | step: 430
|
| 48 |
+
epoch: 9 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 0:06:31.5 | step: 440
|
| 49 |
+
epoch: 9 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.049 | time: 0:06:39.9 | step: 450
|
| 50 |
+
epoch: 10 | 9/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 0:06:49.1 | step: 460
|
| 51 |
+
epoch: 10 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:06:57.9 | step: 470
|
| 52 |
+
epoch: 10 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:07:06.8 | step: 480
|
| 53 |
+
epoch: 10 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 0:07:15.6 | step: 490
|
| 54 |
+
epoch: 11 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.025 | time: 0:07:24.0 | step: 500
|
| 55 |
+
epoch: 11 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.004 | time: 0:07:32.8 | step: 510
|
| 56 |
+
epoch: 11 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.022 | time: 0:07:41.7 | step: 520
|
| 57 |
+
epoch: 11 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:07:50.5 | step: 530
|
| 58 |
+
epoch: 11 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.036 | time: 0:07:58.9 | step: 540
|
| 59 |
+
epoch: 12 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.038 | time: 0:08:07.9 | step: 550
|
| 60 |
+
epoch: 12 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.008 | time: 0:08:16.8 | step: 560
|
| 61 |
+
epoch: 12 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 0:08:25.7 | step: 570
|
| 62 |
+
epoch: 12 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 0:08:34.5 | step: 580
|
| 63 |
+
epoch: 13 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.031 | time: 0:08:42.9 | step: 590
|
| 64 |
+
epoch: 13 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 0:08:51.8 | step: 600
|
| 65 |
+
epoch: 13 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 0:09:00.7 | step: 610
|
| 66 |
+
epoch: 13 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.031 | time: 0:09:09.5 | step: 620
|
| 67 |
+
epoch: 13 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.016 | time: 0:09:17.9 | step: 630
|
| 68 |
+
epoch: 14 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.011 | time: 0:09:27.1 | step: 640
|
| 69 |
+
epoch: 14 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.022 | time: 0:09:36.0 | step: 650
|
| 70 |
+
epoch: 14 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.017 | time: 0:09:44.8 | step: 660
|
| 71 |
+
epoch: 14 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:09:53.7 | step: 670
|
| 72 |
+
epoch: 15 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.026 | time: 0:10:02.1 | step: 680
|
| 73 |
+
epoch: 15 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:10:11.0 | step: 690
|
| 74 |
+
epoch: 15 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.007 | time: 0:10:19.9 | step: 700
|
| 75 |
+
epoch: 15 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 0:10:28.8 | step: 710
|
| 76 |
+
epoch: 15 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.044 | time: 0:10:37.2 | step: 720
|
| 77 |
+
epoch: 16 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.026 | time: 0:10:46.2 | step: 730
|
| 78 |
+
epoch: 16 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 0:10:55.0 | step: 740
|
| 79 |
+
epoch: 16 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 0:11:03.9 | step: 750
|
| 80 |
+
epoch: 16 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:11:12.7 | step: 760
|
| 81 |
+
epoch: 17 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.015 | time: 0:11:21.1 | step: 770
|
| 82 |
+
epoch: 17 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:11:30.0 | step: 780
|
| 83 |
+
epoch: 17 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.044 | time: 0:11:38.8 | step: 790
|
| 84 |
+
epoch: 17 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:11:47.7 | step: 800
|
| 85 |
+
epoch: 17 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.051 | time: 0:11:56.1 | step: 810
|
| 86 |
+
epoch: 18 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.015 | time: 0:12:05.1 | step: 820
|
| 87 |
+
epoch: 18 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.008 | time: 0:12:13.9 | step: 830
|
| 88 |
+
epoch: 18 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 0:12:22.8 | step: 840
|
| 89 |
+
epoch: 18 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 0:12:31.7 | step: 850
|
| 90 |
+
epoch: 19 | 4/ 45 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0001 | loss: 0.007 | time: 0:12:40.1 | step: 860
|
| 91 |
+
epoch: 19 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 0:12:49.0 | step: 870
|
| 92 |
+
epoch: 19 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.023 | time: 0:12:57.9 | step: 880
|
| 93 |
+
epoch: 19 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.039 | time: 0:13:06.8 | step: 890
|
| 94 |
+
epoch: 19 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.024 | time: 0:13:15.2 | step: 900
|
| 95 |
+
epoch: 20 | 9/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.008 | time: 0:13:24.5 | step: 910
|
| 96 |
+
epoch: 20 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.035 | time: 0:13:33.4 | step: 920
|
| 97 |
+
epoch: 20 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.019 | time: 0:13:42.3 | step: 930
|
| 98 |
+
epoch: 20 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.012 | time: 0:13:51.2 | step: 940
|
| 99 |
+
epoch: 21 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.020 | time: 0:13:59.6 | step: 950
|
| 100 |
+
epoch: 21 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:14:08.5 | step: 960
|
| 101 |
+
epoch: 21 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.011 | time: 0:14:17.4 | step: 970
|
| 102 |
+
epoch: 21 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 0:14:26.3 | step: 980
|
| 103 |
+
epoch: 21 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.020 | time: 0:14:34.7 | step: 990
|
| 104 |
+
epoch: 22 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.031 | time: 0:14:43.7 | step: 1000
|
| 105 |
+
epoch: 22 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.018 | time: 0:14:52.6 | step: 1010
|
| 106 |
+
epoch: 22 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.036 | time: 0:15:01.5 | step: 1020
|
| 107 |
+
epoch: 22 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 0:15:10.4 | step: 1030
|
| 108 |
+
epoch: 23 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.009 | time: 0:15:18.8 | step: 1040
|
| 109 |
+
epoch: 23 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.011 | time: 0:15:27.7 | step: 1050
|
| 110 |
+
epoch: 23 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 0:15:36.6 | step: 1060
|
| 111 |
+
epoch: 23 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.022 | time: 0:15:45.5 | step: 1070
|
| 112 |
+
epoch: 23 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.008 | time: 0:15:53.8 | step: 1080
|
| 113 |
+
epoch: 24 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.015 | time: 0:16:02.9 | step: 1090
|
| 114 |
+
epoch: 24 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 0:16:11.8 | step: 1100
|
| 115 |
+
epoch: 24 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 0:16:20.6 | step: 1110
|
| 116 |
+
epoch: 24 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.008 | time: 0:16:29.5 | step: 1120
|
| 117 |
+
epoch: 25 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.019 | time: 0:16:37.9 | step: 1130
|
| 118 |
+
epoch: 25 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.027 | time: 0:16:46.8 | step: 1140
|
| 119 |
+
epoch: 25 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.017 | time: 0:16:55.7 | step: 1150
|
| 120 |
+
epoch: 25 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.012 | time: 0:17:04.6 | step: 1160
|
| 121 |
+
epoch: 25 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.023 | time: 0:17:12.9 | step: 1170
|
| 122 |
+
epoch: 26 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.013 | time: 0:17:21.9 | step: 1180
|
| 123 |
+
epoch: 26 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:17:30.8 | step: 1190
|
| 124 |
+
epoch: 26 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:17:39.7 | step: 1200
|
| 125 |
+
epoch: 26 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 0:17:48.5 | step: 1210
|
| 126 |
+
epoch: 27 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.041 | time: 0:17:56.9 | step: 1220
|
| 127 |
+
epoch: 27 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 0:18:05.8 | step: 1230
|
| 128 |
+
epoch: 27 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.026 | time: 0:18:14.7 | step: 1240
|
| 129 |
+
epoch: 27 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.022 | time: 0:18:23.6 | step: 1250
|
| 130 |
+
epoch: 27 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.010 | time: 0:18:32.0 | step: 1260
|
| 131 |
+
epoch: 28 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.030 | time: 0:18:41.0 | step: 1270
|
| 132 |
+
epoch: 28 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:18:49.9 | step: 1280
|
| 133 |
+
epoch: 28 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.021 | time: 0:18:58.8 | step: 1290
|
| 134 |
+
epoch: 28 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:19:07.6 | step: 1300
|
| 135 |
+
epoch: 29 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.026 | time: 0:19:16.0 | step: 1310
|
| 136 |
+
epoch: 29 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.026 | time: 0:19:24.9 | step: 1320
|
| 137 |
+
epoch: 29 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 0:19:33.8 | step: 1330
|
| 138 |
+
epoch: 29 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.033 | time: 0:19:42.7 | step: 1340
|
| 139 |
+
epoch: 29 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.015 | time: 0:19:51.1 | step: 1350
|
| 140 |
+
epoch: 30 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.036 | time: 0:20:00.1 | step: 1360
|
| 141 |
+
epoch: 30 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.038 | time: 0:20:09.0 | step: 1370
|
| 142 |
+
epoch: 30 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.012 | time: 0:20:17.9 | step: 1380
|
| 143 |
+
epoch: 30 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.025 | time: 0:20:26.8 | step: 1390
|
| 144 |
+
epoch: 31 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.022 | time: 0:20:35.2 | step: 1400
|
| 145 |
+
epoch: 31 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.005 | time: 0:20:44.1 | step: 1410
|
| 146 |
+
epoch: 31 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.008 | time: 0:20:53.0 | step: 1420
|
| 147 |
+
epoch: 31 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.025 | time: 0:21:01.9 | step: 1430
|
| 148 |
+
epoch: 31 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.017 | time: 0:21:10.3 | step: 1440
|
| 149 |
+
epoch: 32 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.014 | time: 0:21:19.4 | step: 1450
|
| 150 |
+
epoch: 32 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.032 | time: 0:21:28.3 | step: 1460
|
| 151 |
+
epoch: 32 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.045 | time: 0:21:37.2 | step: 1470
|
| 152 |
+
epoch: 32 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.036 | time: 0:21:46.1 | step: 1480
|
| 153 |
+
epoch: 33 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.022 | time: 0:21:54.5 | step: 1490
|
| 154 |
+
epoch: 33 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.006 | time: 0:22:03.4 | step: 1500
|
| 155 |
+
epoch: 33 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.019 | time: 0:22:12.3 | step: 1510
|
| 156 |
+
epoch: 33 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.008 | time: 0:22:21.2 | step: 1520
|
| 157 |
+
epoch: 33 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.005 | time: 0:22:29.6 | step: 1530
|
| 158 |
+
epoch: 34 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.016 | time: 0:22:38.6 | step: 1540
|
| 159 |
+
epoch: 34 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:22:47.5 | step: 1550
|
| 160 |
+
epoch: 34 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.017 | time: 0:22:56.4 | step: 1560
|
| 161 |
+
epoch: 34 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:23:05.3 | step: 1570
|
| 162 |
+
epoch: 35 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.017 | time: 0:23:13.7 | step: 1580
|
| 163 |
+
epoch: 35 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 0:23:22.6 | step: 1590
|
| 164 |
+
epoch: 35 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.024 | time: 0:23:31.5 | step: 1600
|
| 165 |
+
epoch: 35 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.006 | time: 0:23:40.4 | step: 1610
|
| 166 |
+
epoch: 35 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.031 | time: 0:23:48.9 | step: 1620
|
| 167 |
+
epoch: 36 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.021 | time: 0:23:57.9 | step: 1630
|
| 168 |
+
epoch: 36 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.006 | time: 0:24:06.8 | step: 1640
|
| 169 |
+
epoch: 36 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 0:24:15.7 | step: 1650
|
| 170 |
+
epoch: 36 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:24:24.6 | step: 1660
|
| 171 |
+
epoch: 37 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.031 | time: 0:24:33.0 | step: 1670
|
| 172 |
+
epoch: 37 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:24:41.8 | step: 1680
|
| 173 |
+
epoch: 37 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 0:24:50.7 | step: 1690
|
| 174 |
+
epoch: 37 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:24:59.6 | step: 1700
|
| 175 |
+
epoch: 37 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.031 | time: 0:25:08.0 | step: 1710
|
| 176 |
+
epoch: 38 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.010 | time: 0:25:17.0 | step: 1720
|
| 177 |
+
epoch: 38 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:25:25.9 | step: 1730
|
| 178 |
+
epoch: 38 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 0:25:34.7 | step: 1740
|
| 179 |
+
epoch: 38 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:25:43.6 | step: 1750
|
| 180 |
+
epoch: 39 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.024 | time: 0:25:51.9 | step: 1760
|
| 181 |
+
epoch: 39 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 0:26:00.8 | step: 1770
|
| 182 |
+
epoch: 39 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 0:26:09.7 | step: 1780
|
| 183 |
+
epoch: 39 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:26:18.5 | step: 1790
|
| 184 |
+
epoch: 39 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.034 | time: 0:26:26.9 | step: 1800
|
| 185 |
+
epoch: 40 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.019 | time: 0:26:35.9 | step: 1810
|
| 186 |
+
epoch: 40 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 0:26:44.8 | step: 1820
|
| 187 |
+
epoch: 40 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 0:26:53.7 | step: 1830
|
| 188 |
+
epoch: 40 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:27:02.5 | step: 1840
|
| 189 |
+
epoch: 41 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.007 | time: 0:27:10.9 | step: 1850
|
| 190 |
+
epoch: 41 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.024 | time: 0:27:19.8 | step: 1860
|
| 191 |
+
epoch: 41 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 0:27:28.7 | step: 1870
|
| 192 |
+
epoch: 41 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:27:37.5 | step: 1880
|
| 193 |
+
epoch: 41 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.003 | time: 0:27:45.9 | step: 1890
|
| 194 |
+
epoch: 42 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.010 | time: 0:27:54.9 | step: 1900
|
| 195 |
+
epoch: 42 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:28:03.8 | step: 1910
|
| 196 |
+
epoch: 42 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 0:28:12.7 | step: 1920
|
| 197 |
+
epoch: 42 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.027 | time: 0:28:21.6 | step: 1930
|
| 198 |
+
epoch: 43 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.010 | time: 0:28:30.0 | step: 1940
|
| 199 |
+
epoch: 43 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.013 | time: 0:28:38.9 | step: 1950
|
| 200 |
+
epoch: 43 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 0:28:47.7 | step: 1960
|
| 201 |
+
epoch: 43 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.016 | time: 0:28:56.6 | step: 1970
|
| 202 |
+
epoch: 43 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.010 | time: 0:29:05.0 | step: 1980
|
| 203 |
+
epoch: 44 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.040 | time: 0:29:14.1 | step: 1990
|
| 204 |
+
epoch: 44 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 0:29:23.0 | step: 2000
|
| 205 |
+
--- <validation> ---
|
| 206 |
+
loss: 0.021.
|
| 207 |
+
epoch: 44 | 29/ 45 | logs/44k/diffusion | batch/s: 0.10 | lr: 0.0001 | loss: 0.007 | time: 0:30:58.8 | step: 2010
|
| 208 |
+
epoch: 44 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.016 | time: 0:31:07.7 | step: 2020
|
| 209 |
+
epoch: 45 | 4/ 45 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0001 | loss: 0.007 | time: 0:31:16.2 | step: 2030
|
| 210 |
+
epoch: 45 | 14/ 45 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0001 | loss: 0.013 | time: 0:31:25.2 | step: 2040
|
| 211 |
+
epoch: 45 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.012 | time: 0:31:34.1 | step: 2050
|
| 212 |
+
epoch: 45 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.011 | time: 0:31:43.0 | step: 2060
|
| 213 |
+
epoch: 45 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.006 | time: 0:31:51.4 | step: 2070
|
| 214 |
+
epoch: 46 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.004 | time: 0:32:00.4 | step: 2080
|
| 215 |
+
epoch: 46 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 0:32:09.3 | step: 2090
|
| 216 |
+
epoch: 46 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:32:18.1 | step: 2100
|
| 217 |
+
epoch: 46 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 0:32:27.0 | step: 2110
|
| 218 |
+
epoch: 47 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.028 | time: 0:32:35.4 | step: 2120
|
| 219 |
+
epoch: 47 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.009 | time: 0:32:44.3 | step: 2130
|
| 220 |
+
epoch: 47 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.009 | time: 0:32:53.2 | step: 2140
|
| 221 |
+
epoch: 47 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.010 | time: 0:33:02.1 | step: 2150
|
| 222 |
+
epoch: 47 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.023 | time: 0:33:10.5 | step: 2160
|
| 223 |
+
epoch: 48 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.010 | time: 0:33:19.5 | step: 2170
|
| 224 |
+
epoch: 48 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.030 | time: 0:33:28.4 | step: 2180
|
| 225 |
+
epoch: 48 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:33:37.2 | step: 2190
|
| 226 |
+
epoch: 48 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 0:33:46.1 | step: 2200
|
| 227 |
+
epoch: 49 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.009 | time: 0:33:54.5 | step: 2210
|
| 228 |
+
epoch: 49 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:34:03.3 | step: 2220
|
| 229 |
+
epoch: 49 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 0:34:12.2 | step: 2230
|
| 230 |
+
epoch: 49 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 0:34:21.0 | step: 2240
|
| 231 |
+
epoch: 49 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.014 | time: 0:34:29.4 | step: 2250
|
| 232 |
+
epoch: 50 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.036 | time: 0:34:38.4 | step: 2260
|
| 233 |
+
epoch: 50 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 0:34:47.3 | step: 2270
|
| 234 |
+
epoch: 50 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 0:34:56.2 | step: 2280
|
| 235 |
+
epoch: 50 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:35:05.0 | step: 2290
|
| 236 |
+
epoch: 51 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.014 | time: 0:35:13.4 | step: 2300
|
| 237 |
+
epoch: 51 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.039 | time: 0:35:22.3 | step: 2310
|
| 238 |
+
epoch: 51 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.022 | time: 0:35:31.1 | step: 2320
|
| 239 |
+
epoch: 51 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.034 | time: 0:35:40.0 | step: 2330
|
| 240 |
+
epoch: 51 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.023 | time: 0:35:48.4 | step: 2340
|
| 241 |
+
epoch: 52 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.019 | time: 0:35:57.4 | step: 2350
|
| 242 |
+
epoch: 52 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:36:06.3 | step: 2360
|
| 243 |
+
epoch: 52 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:36:15.1 | step: 2370
|
| 244 |
+
epoch: 52 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:36:24.0 | step: 2380
|
| 245 |
+
epoch: 53 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.024 | time: 0:36:32.4 | step: 2390
|
| 246 |
+
epoch: 53 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:36:41.3 | step: 2400
|
| 247 |
+
epoch: 53 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.012 | time: 0:36:50.1 | step: 2410
|
| 248 |
+
epoch: 53 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 0:36:59.0 | step: 2420
|
| 249 |
+
epoch: 53 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.024 | time: 0:37:07.4 | step: 2430
|
| 250 |
+
epoch: 54 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.011 | time: 0:37:16.5 | step: 2440
|
| 251 |
+
epoch: 54 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:37:25.4 | step: 2450
|
| 252 |
+
epoch: 54 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.027 | time: 0:37:34.2 | step: 2460
|
| 253 |
+
epoch: 54 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:37:43.1 | step: 2470
|
| 254 |
+
epoch: 55 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.020 | time: 0:37:51.5 | step: 2480
|
| 255 |
+
epoch: 55 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:38:00.4 | step: 2490
|
| 256 |
+
epoch: 55 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.020 | time: 0:38:09.3 | step: 2500
|
| 257 |
+
epoch: 55 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 0:38:18.2 | step: 2510
|
| 258 |
+
epoch: 55 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.011 | time: 0:38:26.6 | step: 2520
|
| 259 |
+
epoch: 56 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.010 | time: 0:38:35.7 | step: 2530
|
| 260 |
+
epoch: 56 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 0:38:44.6 | step: 2540
|
| 261 |
+
epoch: 56 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.029 | time: 0:38:53.5 | step: 2550
|
| 262 |
+
epoch: 56 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.018 | time: 0:39:02.4 | step: 2560
|
| 263 |
+
epoch: 57 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.012 | time: 0:39:10.8 | step: 2570
|
| 264 |
+
epoch: 57 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.014 | time: 0:39:19.7 | step: 2580
|
| 265 |
+
epoch: 57 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.021 | time: 0:39:28.6 | step: 2590
|
| 266 |
+
epoch: 57 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.017 | time: 0:39:37.5 | step: 2600
|
| 267 |
+
epoch: 57 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.028 | time: 0:39:45.9 | step: 2610
|
| 268 |
+
epoch: 58 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.025 | time: 0:39:55.0 | step: 2620
|
| 269 |
+
epoch: 58 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:40:03.9 | step: 2630
|
| 270 |
+
epoch: 58 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.026 | time: 0:40:12.7 | step: 2640
|
| 271 |
+
epoch: 58 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 0:40:21.6 | step: 2650
|
| 272 |
+
epoch: 59 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.011 | time: 0:40:30.0 | step: 2660
|
| 273 |
+
epoch: 59 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.021 | time: 0:40:38.9 | step: 2670
|
| 274 |
+
epoch: 59 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 0:40:47.7 | step: 2680
|
| 275 |
+
epoch: 59 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 0:40:56.6 | step: 2690
|
| 276 |
+
epoch: 59 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.016 | time: 0:41:05.0 | step: 2700
|
| 277 |
+
epoch: 60 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.031 | time: 0:41:14.0 | step: 2710
|
| 278 |
+
epoch: 60 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.031 | time: 0:41:22.9 | step: 2720
|
| 279 |
+
epoch: 60 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 0:41:31.7 | step: 2730
|
| 280 |
+
epoch: 60 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.053 | time: 0:41:40.6 | step: 2740
|
| 281 |
+
epoch: 61 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.016 | time: 0:41:49.0 | step: 2750
|
| 282 |
+
epoch: 61 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:41:57.9 | step: 2760
|
| 283 |
+
epoch: 61 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.031 | time: 0:42:06.7 | step: 2770
|
| 284 |
+
epoch: 61 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 0:42:15.6 | step: 2780
|
| 285 |
+
epoch: 61 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.008 | time: 0:42:24.0 | step: 2790
|
| 286 |
+
epoch: 62 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.012 | time: 0:42:33.1 | step: 2800
|
| 287 |
+
epoch: 62 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:42:42.0 | step: 2810
|
| 288 |
+
epoch: 62 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:42:50.8 | step: 2820
|
| 289 |
+
epoch: 62 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 0:42:59.7 | step: 2830
|
| 290 |
+
epoch: 63 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.005 | time: 0:43:08.1 | step: 2840
|
| 291 |
+
epoch: 63 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.022 | time: 0:43:17.0 | step: 2850
|
| 292 |
+
epoch: 63 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:43:25.9 | step: 2860
|
| 293 |
+
epoch: 63 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.019 | time: 0:43:34.8 | step: 2870
|
| 294 |
+
epoch: 63 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.003 | time: 0:43:43.2 | step: 2880
|
| 295 |
+
epoch: 64 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.011 | time: 0:43:52.1 | step: 2890
|
| 296 |
+
epoch: 64 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.026 | time: 0:44:01.0 | step: 2900
|
| 297 |
+
epoch: 64 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 0:44:09.9 | step: 2910
|
| 298 |
+
epoch: 64 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.009 | time: 0:44:18.8 | step: 2920
|
| 299 |
+
epoch: 65 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.018 | time: 0:44:27.2 | step: 2930
|
| 300 |
+
epoch: 65 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.038 | time: 0:44:36.1 | step: 2940
|
| 301 |
+
epoch: 65 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 0:44:45.0 | step: 2950
|
| 302 |
+
epoch: 65 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.017 | time: 0:44:53.9 | step: 2960
|
| 303 |
+
epoch: 65 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.026 | time: 0:45:02.2 | step: 2970
|
| 304 |
+
epoch: 66 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.008 | time: 0:45:11.3 | step: 2980
|
| 305 |
+
epoch: 66 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.028 | time: 0:45:20.2 | step: 2990
|
| 306 |
+
epoch: 66 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:45:29.1 | step: 3000
|
| 307 |
+
epoch: 66 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 0:45:38.0 | step: 3010
|
| 308 |
+
epoch: 67 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.052 | time: 0:45:46.3 | step: 3020
|
| 309 |
+
epoch: 67 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.020 | time: 0:45:55.2 | step: 3030
|
| 310 |
+
epoch: 67 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 0:46:04.1 | step: 3040
|
| 311 |
+
epoch: 67 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:46:13.0 | step: 3050
|
| 312 |
+
epoch: 67 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.009 | time: 0:46:21.3 | step: 3060
|
| 313 |
+
epoch: 68 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.023 | time: 0:46:30.3 | step: 3070
|
| 314 |
+
epoch: 68 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:46:39.2 | step: 3080
|
| 315 |
+
epoch: 68 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.027 | time: 0:46:48.0 | step: 3090
|
| 316 |
+
epoch: 68 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.037 | time: 0:46:56.9 | step: 3100
|
| 317 |
+
epoch: 69 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.038 | time: 0:47:05.3 | step: 3110
|
| 318 |
+
epoch: 69 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:47:14.1 | step: 3120
|
| 319 |
+
epoch: 69 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.029 | time: 0:47:23.0 | step: 3130
|
| 320 |
+
epoch: 69 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 0:47:31.9 | step: 3140
|
| 321 |
+
epoch: 69 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.060 | time: 0:47:40.2 | step: 3150
|
| 322 |
+
epoch: 70 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.021 | time: 0:47:49.3 | step: 3160
|
| 323 |
+
epoch: 70 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:47:58.2 | step: 3170
|
| 324 |
+
epoch: 70 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.017 | time: 0:48:07.1 | step: 3180
|
| 325 |
+
epoch: 70 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.030 | time: 0:48:15.9 | step: 3190
|
| 326 |
+
epoch: 71 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.011 | time: 0:48:24.3 | step: 3200
|
| 327 |
+
epoch: 71 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 0:48:33.2 | step: 3210
|
| 328 |
+
epoch: 71 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:48:42.1 | step: 3220
|
| 329 |
+
epoch: 71 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.040 | time: 0:48:51.0 | step: 3230
|
| 330 |
+
epoch: 71 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.035 | time: 0:48:59.4 | step: 3240
|
| 331 |
+
epoch: 72 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.013 | time: 0:49:08.4 | step: 3250
|
| 332 |
+
epoch: 72 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.028 | time: 0:49:17.3 | step: 3260
|
| 333 |
+
epoch: 72 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.014 | time: 0:49:26.2 | step: 3270
|
| 334 |
+
epoch: 72 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:49:35.1 | step: 3280
|
| 335 |
+
epoch: 73 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.004 | time: 0:49:43.5 | step: 3290
|
| 336 |
+
epoch: 73 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 0:49:52.4 | step: 3300
|
| 337 |
+
epoch: 73 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.017 | time: 0:50:01.3 | step: 3310
|
| 338 |
+
epoch: 73 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.012 | time: 0:50:10.2 | step: 3320
|
| 339 |
+
epoch: 73 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.053 | time: 0:50:18.6 | step: 3330
|
| 340 |
+
epoch: 74 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.010 | time: 0:50:27.7 | step: 3340
|
| 341 |
+
epoch: 74 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:50:36.6 | step: 3350
|
| 342 |
+
epoch: 74 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.024 | time: 0:50:45.5 | step: 3360
|
| 343 |
+
epoch: 74 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.024 | time: 0:50:54.4 | step: 3370
|
| 344 |
+
epoch: 75 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.027 | time: 0:51:02.8 | step: 3380
|
| 345 |
+
epoch: 75 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 0:51:11.7 | step: 3390
|
| 346 |
+
epoch: 75 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.031 | time: 0:51:20.6 | step: 3400
|
| 347 |
+
epoch: 75 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:51:29.5 | step: 3410
|
| 348 |
+
epoch: 75 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.007 | time: 0:51:37.9 | step: 3420
|
| 349 |
+
epoch: 76 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.014 | time: 0:51:47.1 | step: 3430
|
| 350 |
+
epoch: 76 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.014 | time: 0:51:56.0 | step: 3440
|
| 351 |
+
epoch: 76 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.044 | time: 0:52:04.9 | step: 3450
|
| 352 |
+
epoch: 76 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.036 | time: 0:52:13.8 | step: 3460
|
| 353 |
+
epoch: 77 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.013 | time: 0:52:22.2 | step: 3470
|
| 354 |
+
epoch: 77 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:52:31.1 | step: 3480
|
| 355 |
+
epoch: 77 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.006 | time: 0:52:40.0 | step: 3490
|
| 356 |
+
epoch: 77 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 0:52:48.9 | step: 3500
|
| 357 |
+
epoch: 77 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.010 | time: 0:52:57.3 | step: 3510
|
| 358 |
+
epoch: 78 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.033 | time: 0:53:06.4 | step: 3520
|
| 359 |
+
epoch: 78 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.027 | time: 0:53:15.3 | step: 3530
|
| 360 |
+
epoch: 78 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:53:24.2 | step: 3540
|
| 361 |
+
epoch: 78 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.011 | time: 0:53:33.1 | step: 3550
|
| 362 |
+
epoch: 79 | 4/ 45 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0001 | loss: 0.019 | time: 0:53:41.5 | step: 3560
|
| 363 |
+
epoch: 79 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:53:50.4 | step: 3570
|
| 364 |
+
epoch: 79 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.007 | time: 0:53:59.3 | step: 3580
|
| 365 |
+
epoch: 79 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 0:54:08.2 | step: 3590
|
| 366 |
+
epoch: 79 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.022 | time: 0:54:16.6 | step: 3600
|
| 367 |
+
epoch: 80 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.023 | time: 0:54:25.7 | step: 3610
|
| 368 |
+
epoch: 80 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 0:54:34.5 | step: 3620
|
| 369 |
+
epoch: 80 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:54:43.4 | step: 3630
|
| 370 |
+
epoch: 80 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:54:52.3 | step: 3640
|
| 371 |
+
epoch: 81 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.019 | time: 0:55:00.6 | step: 3650
|
| 372 |
+
epoch: 81 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 0:55:09.5 | step: 3660
|
| 373 |
+
epoch: 81 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 0:55:18.4 | step: 3670
|
| 374 |
+
epoch: 81 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 0:55:27.2 | step: 3680
|
| 375 |
+
epoch: 81 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.012 | time: 0:55:35.6 | step: 3690
|
| 376 |
+
epoch: 82 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.015 | time: 0:55:44.7 | step: 3700
|
| 377 |
+
epoch: 82 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.041 | time: 0:55:53.5 | step: 3710
|
| 378 |
+
epoch: 82 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 0:56:02.4 | step: 3720
|
| 379 |
+
epoch: 82 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:56:11.3 | step: 3730
|
| 380 |
+
epoch: 83 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.014 | time: 0:56:19.6 | step: 3740
|
| 381 |
+
epoch: 83 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:56:28.5 | step: 3750
|
| 382 |
+
epoch: 83 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 0:56:37.3 | step: 3760
|
| 383 |
+
epoch: 83 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 0:56:46.2 | step: 3770
|
| 384 |
+
epoch: 83 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.004 | time: 0:56:54.6 | step: 3780
|
| 385 |
+
epoch: 84 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.024 | time: 0:57:03.6 | step: 3790
|
| 386 |
+
epoch: 84 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 0:57:12.4 | step: 3800
|
| 387 |
+
epoch: 84 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 0:57:21.3 | step: 3810
|
| 388 |
+
epoch: 84 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:57:30.1 | step: 3820
|
| 389 |
+
epoch: 85 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.019 | time: 0:57:38.5 | step: 3830
|
| 390 |
+
epoch: 85 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 0:57:47.3 | step: 3840
|
| 391 |
+
epoch: 85 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 0:57:56.2 | step: 3850
|
| 392 |
+
epoch: 85 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 0:58:05.0 | step: 3860
|
| 393 |
+
epoch: 85 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.009 | time: 0:58:13.4 | step: 3870
|
| 394 |
+
epoch: 86 | 9/ 45 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0001 | loss: 0.008 | time: 0:58:22.3 | step: 3880
|
| 395 |
+
epoch: 86 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 0:58:31.2 | step: 3890
|
| 396 |
+
epoch: 86 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 0:58:40.0 | step: 3900
|
| 397 |
+
epoch: 86 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.032 | time: 0:58:48.8 | step: 3910
|
| 398 |
+
epoch: 87 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.016 | time: 0:58:57.2 | step: 3920
|
| 399 |
+
epoch: 87 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 0:59:06.0 | step: 3930
|
| 400 |
+
epoch: 87 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 0:59:14.9 | step: 3940
|
| 401 |
+
epoch: 87 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 0:59:23.8 | step: 3950
|
| 402 |
+
epoch: 87 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.020 | time: 0:59:32.1 | step: 3960
|
| 403 |
+
epoch: 88 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.018 | time: 0:59:41.2 | step: 3970
|
| 404 |
+
epoch: 88 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.037 | time: 0:59:50.0 | step: 3980
|
| 405 |
+
epoch: 88 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 0:59:58.9 | step: 3990
|
| 406 |
+
epoch: 88 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 1:00:07.7 | step: 4000
|
| 407 |
+
--- <validation> ---
|
| 408 |
+
loss: 0.015.
|
| 409 |
+
epoch: 89 | 4/ 45 | logs/44k/diffusion | batch/s: 0.10 | lr: 0.0001 | loss: 0.021 | time: 1:01:44.5 | step: 4010
|
| 410 |
+
epoch: 89 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.007 | time: 1:01:53.4 | step: 4020
|
| 411 |
+
epoch: 89 | 24/ 45 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0001 | loss: 0.013 | time: 1:02:02.4 | step: 4030
|
| 412 |
+
epoch: 89 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 1:02:11.3 | step: 4040
|
| 413 |
+
epoch: 89 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.014 | time: 1:02:19.6 | step: 4050
|
| 414 |
+
epoch: 90 | 9/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.004 | time: 1:02:28.8 | step: 4060
|
| 415 |
+
epoch: 90 | 19/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.017 | time: 1:02:37.6 | step: 4070
|
| 416 |
+
epoch: 90 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 1:02:46.4 | step: 4080
|
| 417 |
+
epoch: 90 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 1:02:55.3 | step: 4090
|
| 418 |
+
epoch: 91 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.011 | time: 1:03:03.7 | step: 4100
|
| 419 |
+
epoch: 91 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 1:03:12.6 | step: 4110
|
| 420 |
+
epoch: 91 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 1:03:21.4 | step: 4120
|
| 421 |
+
epoch: 91 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.022 | time: 1:03:30.3 | step: 4130
|
| 422 |
+
epoch: 91 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.005 | time: 1:03:38.7 | step: 4140
|
| 423 |
+
epoch: 92 | 9/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 1:03:47.9 | step: 4150
|
| 424 |
+
epoch: 92 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.018 | time: 1:03:56.8 | step: 4160
|
| 425 |
+
epoch: 92 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.004 | time: 1:04:05.7 | step: 4170
|
| 426 |
+
epoch: 92 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.012 | time: 1:04:14.6 | step: 4180
|
| 427 |
+
epoch: 93 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.013 | time: 1:04:23.0 | step: 4190
|
| 428 |
+
epoch: 93 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 1:04:31.9 | step: 4200
|
| 429 |
+
epoch: 93 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.020 | time: 1:04:40.8 | step: 4210
|
| 430 |
+
epoch: 93 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.031 | time: 1:04:49.7 | step: 4220
|
| 431 |
+
epoch: 93 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.009 | time: 1:04:58.1 | step: 4230
|
| 432 |
+
epoch: 94 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.013 | time: 1:05:07.1 | step: 4240
|
| 433 |
+
epoch: 94 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.026 | time: 1:05:16.0 | step: 4250
|
| 434 |
+
epoch: 94 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 1:05:24.9 | step: 4260
|
| 435 |
+
epoch: 94 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.024 | time: 1:05:33.7 | step: 4270
|
| 436 |
+
epoch: 95 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.008 | time: 1:05:42.1 | step: 4280
|
| 437 |
+
epoch: 95 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 1:05:51.0 | step: 4290
|
| 438 |
+
epoch: 95 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.021 | time: 1:05:59.9 | step: 4300
|
| 439 |
+
epoch: 95 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 1:06:08.8 | step: 4310
|
| 440 |
+
epoch: 95 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.018 | time: 1:06:17.2 | step: 4320
|
| 441 |
+
epoch: 96 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.019 | time: 1:06:26.2 | step: 4330
|
| 442 |
+
epoch: 96 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.011 | time: 1:06:35.1 | step: 4340
|
| 443 |
+
epoch: 96 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 1:06:44.0 | step: 4350
|
| 444 |
+
epoch: 96 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:06:52.8 | step: 4360
|
| 445 |
+
epoch: 97 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.009 | time: 1:07:01.2 | step: 4370
|
| 446 |
+
epoch: 97 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.029 | time: 1:07:10.1 | step: 4380
|
| 447 |
+
epoch: 97 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.008 | time: 1:07:19.0 | step: 4390
|
| 448 |
+
epoch: 97 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 1:07:27.9 | step: 4400
|
| 449 |
+
epoch: 97 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.013 | time: 1:07:36.3 | step: 4410
|
| 450 |
+
epoch: 98 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.040 | time: 1:07:45.3 | step: 4420
|
| 451 |
+
epoch: 98 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.011 | time: 1:07:54.1 | step: 4430
|
| 452 |
+
epoch: 98 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 1:08:03.0 | step: 4440
|
| 453 |
+
epoch: 98 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.021 | time: 1:08:11.9 | step: 4450
|
| 454 |
+
epoch: 99 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.023 | time: 1:08:20.3 | step: 4460
|
| 455 |
+
epoch: 99 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 1:08:29.2 | step: 4470
|
| 456 |
+
epoch: 99 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.025 | time: 1:08:38.1 | step: 4480
|
| 457 |
+
epoch: 99 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.009 | time: 1:08:47.0 | step: 4490
|
| 458 |
+
epoch: 99 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.042 | time: 1:08:55.4 | step: 4500
|
| 459 |
+
epoch: 100 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.005 | time: 1:09:04.4 | step: 4510
|
| 460 |
+
epoch: 100 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.031 | time: 1:09:13.3 | step: 4520
|
| 461 |
+
epoch: 100 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.023 | time: 1:09:22.2 | step: 4530
|
| 462 |
+
epoch: 100 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.031 | time: 1:09:31.1 | step: 4540
|
| 463 |
+
epoch: 101 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.010 | time: 1:09:39.5 | step: 4550
|
| 464 |
+
epoch: 101 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.027 | time: 1:09:48.4 | step: 4560
|
| 465 |
+
epoch: 101 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 1:09:57.3 | step: 4570
|
| 466 |
+
epoch: 101 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:10:06.1 | step: 4580
|
| 467 |
+
epoch: 101 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.011 | time: 1:10:14.5 | step: 4590
|
| 468 |
+
epoch: 102 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.024 | time: 1:10:23.6 | step: 4600
|
| 469 |
+
epoch: 102 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.016 | time: 1:10:32.5 | step: 4610
|
| 470 |
+
epoch: 102 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.023 | time: 1:10:41.4 | step: 4620
|
| 471 |
+
epoch: 102 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 1:10:50.3 | step: 4630
|
| 472 |
+
epoch: 103 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.014 | time: 1:10:58.7 | step: 4640
|
| 473 |
+
epoch: 103 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 1:11:07.5 | step: 4650
|
| 474 |
+
epoch: 103 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.021 | time: 1:11:16.4 | step: 4660
|
| 475 |
+
epoch: 103 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 1:11:25.3 | step: 4670
|
| 476 |
+
epoch: 103 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.032 | time: 1:11:33.7 | step: 4680
|
| 477 |
+
epoch: 104 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.013 | time: 1:11:42.7 | step: 4690
|
| 478 |
+
epoch: 104 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.040 | time: 1:11:51.6 | step: 4700
|
| 479 |
+
epoch: 104 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 1:12:00.5 | step: 4710
|
| 480 |
+
epoch: 104 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.009 | time: 1:12:09.3 | step: 4720
|
| 481 |
+
epoch: 105 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.022 | time: 1:12:17.7 | step: 4730
|
| 482 |
+
epoch: 105 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.033 | time: 1:12:26.6 | step: 4740
|
| 483 |
+
epoch: 105 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.021 | time: 1:12:35.5 | step: 4750
|
| 484 |
+
epoch: 105 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.021 | time: 1:12:44.4 | step: 4760
|
| 485 |
+
epoch: 105 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.005 | time: 1:12:52.8 | step: 4770
|
| 486 |
+
epoch: 106 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.016 | time: 1:13:01.8 | step: 4780
|
| 487 |
+
epoch: 106 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.003 | time: 1:13:10.7 | step: 4790
|
| 488 |
+
epoch: 106 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.007 | time: 1:13:19.6 | step: 4800
|
| 489 |
+
epoch: 106 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.036 | time: 1:13:28.5 | step: 4810
|
| 490 |
+
epoch: 107 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.022 | time: 1:13:36.9 | step: 4820
|
| 491 |
+
epoch: 107 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.020 | time: 1:13:45.8 | step: 4830
|
| 492 |
+
epoch: 107 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:13:54.7 | step: 4840
|
| 493 |
+
epoch: 107 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.011 | time: 1:14:03.6 | step: 4850
|
| 494 |
+
epoch: 107 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.042 | time: 1:14:11.9 | step: 4860
|
| 495 |
+
epoch: 108 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.004 | time: 1:14:21.0 | step: 4870
|
| 496 |
+
epoch: 108 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 1:14:29.8 | step: 4880
|
| 497 |
+
epoch: 108 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 1:14:38.7 | step: 4890
|
| 498 |
+
epoch: 108 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 1:14:47.6 | step: 4900
|
| 499 |
+
epoch: 109 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.010 | time: 1:14:56.0 | step: 4910
|
| 500 |
+
epoch: 109 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.005 | time: 1:15:04.9 | step: 4920
|
| 501 |
+
epoch: 109 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 1:15:13.8 | step: 4930
|
| 502 |
+
epoch: 109 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 1:15:22.7 | step: 4940
|
| 503 |
+
epoch: 109 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.011 | time: 1:15:31.1 | step: 4950
|
| 504 |
+
epoch: 110 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.019 | time: 1:15:40.0 | step: 4960
|
| 505 |
+
epoch: 110 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:15:48.9 | step: 4970
|
| 506 |
+
epoch: 110 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 1:15:57.7 | step: 4980
|
| 507 |
+
epoch: 110 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 1:16:06.6 | step: 4990
|
| 508 |
+
epoch: 111 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.009 | time: 1:16:15.0 | step: 5000
|
| 509 |
+
epoch: 111 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.008 | time: 1:16:23.9 | step: 5010
|
| 510 |
+
epoch: 111 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.021 | time: 1:16:32.8 | step: 5020
|
| 511 |
+
epoch: 111 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.020 | time: 1:16:41.7 | step: 5030
|
| 512 |
+
epoch: 111 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.007 | time: 1:16:50.1 | step: 5040
|
| 513 |
+
epoch: 112 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.024 | time: 1:16:59.1 | step: 5050
|
| 514 |
+
epoch: 112 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 1:17:08.0 | step: 5060
|
| 515 |
+
epoch: 112 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.042 | time: 1:17:16.9 | step: 5070
|
| 516 |
+
epoch: 112 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.016 | time: 1:17:25.7 | step: 5080
|
| 517 |
+
epoch: 113 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.016 | time: 1:17:34.1 | step: 5090
|
| 518 |
+
epoch: 113 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.021 | time: 1:17:43.0 | step: 5100
|
| 519 |
+
epoch: 113 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 1:17:51.9 | step: 5110
|
| 520 |
+
epoch: 113 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.018 | time: 1:18:00.8 | step: 5120
|
| 521 |
+
epoch: 113 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.005 | time: 1:18:09.1 | step: 5130
|
| 522 |
+
epoch: 114 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.018 | time: 1:18:18.2 | step: 5140
|
| 523 |
+
epoch: 114 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 1:18:27.1 | step: 5150
|
| 524 |
+
epoch: 114 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 1:18:36.0 | step: 5160
|
| 525 |
+
epoch: 114 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.018 | time: 1:18:44.8 | step: 5170
|
| 526 |
+
epoch: 115 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.036 | time: 1:18:53.2 | step: 5180
|
| 527 |
+
epoch: 115 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.004 | time: 1:19:02.1 | step: 5190
|
| 528 |
+
epoch: 115 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.039 | time: 1:19:11.0 | step: 5200
|
| 529 |
+
epoch: 115 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.008 | time: 1:19:19.9 | step: 5210
|
| 530 |
+
epoch: 115 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.005 | time: 1:19:28.2 | step: 5220
|
| 531 |
+
epoch: 116 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.009 | time: 1:19:37.2 | step: 5230
|
| 532 |
+
epoch: 116 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 1:19:46.1 | step: 5240
|
| 533 |
+
epoch: 116 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:19:55.0 | step: 5250
|
| 534 |
+
epoch: 116 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.044 | time: 1:20:03.9 | step: 5260
|
| 535 |
+
epoch: 117 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.008 | time: 1:20:12.3 | step: 5270
|
| 536 |
+
epoch: 117 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 1:20:21.1 | step: 5280
|
| 537 |
+
epoch: 117 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.026 | time: 1:20:30.0 | step: 5290
|
| 538 |
+
epoch: 117 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 1:20:38.9 | step: 5300
|
| 539 |
+
epoch: 117 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.011 | time: 1:20:47.3 | step: 5310
|
| 540 |
+
epoch: 118 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.009 | time: 1:20:56.3 | step: 5320
|
| 541 |
+
epoch: 118 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 1:21:05.2 | step: 5330
|
| 542 |
+
epoch: 118 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 1:21:14.1 | step: 5340
|
| 543 |
+
epoch: 118 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.027 | time: 1:21:23.0 | step: 5350
|
| 544 |
+
epoch: 119 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.023 | time: 1:21:31.4 | step: 5360
|
| 545 |
+
epoch: 119 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.031 | time: 1:21:40.3 | step: 5370
|
| 546 |
+
epoch: 119 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:21:49.2 | step: 5380
|
| 547 |
+
epoch: 119 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.025 | time: 1:21:58.0 | step: 5390
|
| 548 |
+
epoch: 119 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.007 | time: 1:22:06.4 | step: 5400
|
| 549 |
+
epoch: 120 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.014 | time: 1:22:15.5 | step: 5410
|
| 550 |
+
epoch: 120 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.019 | time: 1:22:24.4 | step: 5420
|
| 551 |
+
epoch: 120 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.004 | time: 1:22:33.3 | step: 5430
|
| 552 |
+
epoch: 120 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 1:22:42.2 | step: 5440
|
| 553 |
+
epoch: 121 | 4/ 45 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0001 | loss: 0.015 | time: 1:22:50.6 | step: 5450
|
| 554 |
+
epoch: 121 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.013 | time: 1:22:59.5 | step: 5460
|
| 555 |
+
epoch: 121 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 1:23:08.4 | step: 5470
|
| 556 |
+
epoch: 121 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.020 | time: 1:23:17.3 | step: 5480
|
| 557 |
+
epoch: 121 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.015 | time: 1:23:25.7 | step: 5490
|
| 558 |
+
epoch: 122 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.012 | time: 1:23:34.8 | step: 5500
|
| 559 |
+
epoch: 122 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.028 | time: 1:23:43.7 | step: 5510
|
| 560 |
+
epoch: 122 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.021 | time: 1:23:52.5 | step: 5520
|
| 561 |
+
epoch: 122 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 1:24:01.4 | step: 5530
|
| 562 |
+
epoch: 123 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.014 | time: 1:24:09.8 | step: 5540
|
| 563 |
+
epoch: 123 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.021 | time: 1:24:18.7 | step: 5550
|
| 564 |
+
epoch: 123 | 24/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.027 | time: 1:24:27.6 | step: 5560
|
| 565 |
+
epoch: 123 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.008 | time: 1:24:36.5 | step: 5570
|
| 566 |
+
epoch: 123 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.030 | time: 1:24:44.9 | step: 5580
|
| 567 |
+
epoch: 124 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.018 | time: 1:24:54.0 | step: 5590
|
| 568 |
+
epoch: 124 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 1:25:02.8 | step: 5600
|
| 569 |
+
epoch: 124 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 1:25:11.7 | step: 5610
|
| 570 |
+
epoch: 124 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.036 | time: 1:25:20.6 | step: 5620
|
| 571 |
+
epoch: 125 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.028 | time: 1:25:29.0 | step: 5630
|
| 572 |
+
epoch: 125 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.023 | time: 1:25:37.9 | step: 5640
|
| 573 |
+
epoch: 125 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 1:25:46.8 | step: 5650
|
| 574 |
+
epoch: 125 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.008 | time: 1:25:55.7 | step: 5660
|
| 575 |
+
epoch: 125 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.014 | time: 1:26:04.1 | step: 5670
|
| 576 |
+
epoch: 126 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.011 | time: 1:26:13.2 | step: 5680
|
| 577 |
+
epoch: 126 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 1:26:22.1 | step: 5690
|
| 578 |
+
epoch: 126 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 1:26:30.9 | step: 5700
|
| 579 |
+
epoch: 126 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.029 | time: 1:26:39.8 | step: 5710
|
| 580 |
+
epoch: 127 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.018 | time: 1:26:48.2 | step: 5720
|
| 581 |
+
epoch: 127 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.011 | time: 1:26:57.1 | step: 5730
|
| 582 |
+
epoch: 127 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.038 | time: 1:27:06.0 | step: 5740
|
| 583 |
+
epoch: 127 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 1:27:14.9 | step: 5750
|
| 584 |
+
epoch: 127 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.010 | time: 1:27:23.3 | step: 5760
|
| 585 |
+
epoch: 128 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.024 | time: 1:27:32.3 | step: 5770
|
| 586 |
+
epoch: 128 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.037 | time: 1:27:41.2 | step: 5780
|
| 587 |
+
epoch: 128 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.018 | time: 1:27:50.1 | step: 5790
|
| 588 |
+
epoch: 128 | 39/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.030 | time: 1:27:59.0 | step: 5800
|
| 589 |
+
epoch: 129 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.014 | time: 1:28:07.4 | step: 5810
|
| 590 |
+
epoch: 129 | 14/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 1:28:16.3 | step: 5820
|
| 591 |
+
epoch: 129 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 1:28:25.2 | step: 5830
|
| 592 |
+
epoch: 129 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.008 | time: 1:28:34.1 | step: 5840
|
| 593 |
+
epoch: 129 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.006 | time: 1:28:42.4 | step: 5850
|
| 594 |
+
epoch: 130 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.039 | time: 1:28:51.5 | step: 5860
|
| 595 |
+
epoch: 130 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.021 | time: 1:29:00.4 | step: 5870
|
| 596 |
+
epoch: 130 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.020 | time: 1:29:09.2 | step: 5880
|
| 597 |
+
epoch: 130 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 1:29:18.1 | step: 5890
|
| 598 |
+
epoch: 131 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.038 | time: 1:29:26.6 | step: 5900
|
| 599 |
+
epoch: 131 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.042 | time: 1:29:35.4 | step: 5910
|
| 600 |
+
epoch: 131 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 1:29:44.3 | step: 5920
|
| 601 |
+
epoch: 131 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 1:29:53.2 | step: 5930
|
| 602 |
+
epoch: 131 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.008 | time: 1:30:01.6 | step: 5940
|
| 603 |
+
epoch: 132 | 9/ 45 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0001 | loss: 0.011 | time: 1:30:10.6 | step: 5950
|
| 604 |
+
epoch: 132 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:30:19.5 | step: 5960
|
| 605 |
+
epoch: 132 | 29/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.020 | time: 1:30:28.4 | step: 5970
|
| 606 |
+
epoch: 132 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 1:30:37.2 | step: 5980
|
| 607 |
+
epoch: 133 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.025 | time: 1:30:45.6 | step: 5990
|
| 608 |
+
epoch: 133 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 1:30:54.5 | step: 6000
|
| 609 |
+
--- <validation> ---
|
| 610 |
+
loss: 0.017.
|
| 611 |
+
epoch: 133 | 24/ 45 | logs/44k/diffusion | batch/s: 0.11 | lr: 0.0001 | loss: 0.034 | time: 1:32:29.1 | step: 6010
|
| 612 |
+
epoch: 133 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.009 | time: 1:32:38.0 | step: 6020
|
| 613 |
+
epoch: 133 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.007 | time: 1:32:46.4 | step: 6030
|
| 614 |
+
epoch: 134 | 9/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.007 | time: 1:32:55.5 | step: 6040
|
| 615 |
+
epoch: 134 | 19/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.015 | time: 1:33:04.4 | step: 6050
|
| 616 |
+
epoch: 134 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.029 | time: 1:33:13.3 | step: 6060
|
| 617 |
+
epoch: 134 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 1:33:22.1 | step: 6070
|
| 618 |
+
epoch: 135 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.016 | time: 1:33:30.4 | step: 6080
|
| 619 |
+
epoch: 135 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 1:33:39.3 | step: 6090
|
| 620 |
+
epoch: 135 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 1:33:48.1 | step: 6100
|
| 621 |
+
epoch: 135 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 1:33:56.9 | step: 6110
|
| 622 |
+
epoch: 135 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.012 | time: 1:34:05.3 | step: 6120
|
| 623 |
+
epoch: 136 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.019 | time: 1:34:14.3 | step: 6130
|
| 624 |
+
epoch: 136 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 1:34:23.1 | step: 6140
|
| 625 |
+
epoch: 136 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:34:31.9 | step: 6150
|
| 626 |
+
epoch: 136 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 1:34:40.8 | step: 6160
|
| 627 |
+
epoch: 137 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.010 | time: 1:34:49.2 | step: 6170
|
| 628 |
+
epoch: 137 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 1:34:58.0 | step: 6180
|
| 629 |
+
epoch: 137 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 1:35:06.9 | step: 6190
|
| 630 |
+
epoch: 137 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 1:35:15.7 | step: 6200
|
| 631 |
+
epoch: 137 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.005 | time: 1:35:24.1 | step: 6210
|
| 632 |
+
epoch: 138 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.019 | time: 1:35:33.2 | step: 6220
|
| 633 |
+
epoch: 138 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.026 | time: 1:35:42.0 | step: 6230
|
| 634 |
+
epoch: 138 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 1:35:50.8 | step: 6240
|
| 635 |
+
epoch: 138 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.026 | time: 1:35:59.7 | step: 6250
|
| 636 |
+
epoch: 139 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.009 | time: 1:36:08.0 | step: 6260
|
| 637 |
+
epoch: 139 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.007 | time: 1:36:16.9 | step: 6270
|
| 638 |
+
epoch: 139 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.015 | time: 1:36:25.7 | step: 6280
|
| 639 |
+
epoch: 139 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 1:36:34.6 | step: 6290
|
| 640 |
+
epoch: 139 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.009 | time: 1:36:42.9 | step: 6300
|
| 641 |
+
epoch: 140 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.008 | time: 1:36:52.0 | step: 6310
|
| 642 |
+
epoch: 140 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.038 | time: 1:37:00.8 | step: 6320
|
| 643 |
+
epoch: 140 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 1:37:09.7 | step: 6330
|
| 644 |
+
epoch: 140 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 1:37:18.5 | step: 6340
|
| 645 |
+
epoch: 141 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.004 | time: 1:37:26.9 | step: 6350
|
| 646 |
+
epoch: 141 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.028 | time: 1:37:35.7 | step: 6360
|
| 647 |
+
epoch: 141 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:37:44.6 | step: 6370
|
| 648 |
+
epoch: 141 | 34/ 45 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0001 | loss: 0.017 | time: 1:37:53.5 | step: 6380
|
| 649 |
+
epoch: 141 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.037 | time: 1:38:01.9 | step: 6390
|
| 650 |
+
epoch: 142 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.009 | time: 1:38:10.9 | step: 6400
|
| 651 |
+
epoch: 142 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.013 | time: 1:38:19.7 | step: 6410
|
| 652 |
+
epoch: 142 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.030 | time: 1:38:28.6 | step: 6420
|
| 653 |
+
epoch: 142 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 1:38:37.5 | step: 6430
|
| 654 |
+
epoch: 143 | 4/ 45 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0001 | loss: 0.003 | time: 1:38:45.9 | step: 6440
|
| 655 |
+
epoch: 143 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 1:38:54.7 | step: 6450
|
| 656 |
+
epoch: 143 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.014 | time: 1:39:03.6 | step: 6460
|
| 657 |
+
epoch: 143 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.016 | time: 1:39:12.5 | step: 6470
|
| 658 |
+
epoch: 143 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.009 | time: 1:39:20.8 | step: 6480
|
| 659 |
+
epoch: 144 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.018 | time: 1:39:29.9 | step: 6490
|
| 660 |
+
epoch: 144 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.021 | time: 1:39:38.8 | step: 6500
|
| 661 |
+
epoch: 144 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.008 | time: 1:39:47.6 | step: 6510
|
| 662 |
+
epoch: 144 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.017 | time: 1:39:56.5 | step: 6520
|
| 663 |
+
epoch: 145 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.025 | time: 1:40:04.8 | step: 6530
|
| 664 |
+
epoch: 145 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.033 | time: 1:40:13.7 | step: 6540
|
| 665 |
+
epoch: 145 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 1:40:22.5 | step: 6550
|
| 666 |
+
epoch: 145 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.009 | time: 1:40:31.4 | step: 6560
|
| 667 |
+
epoch: 145 | 44/ 45 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0001 | loss: 0.008 | time: 1:40:39.8 | step: 6570
|
| 668 |
+
epoch: 146 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.010 | time: 1:40:48.9 | step: 6580
|
| 669 |
+
epoch: 146 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 1:40:57.7 | step: 6590
|
| 670 |
+
epoch: 146 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.028 | time: 1:41:06.6 | step: 6600
|
| 671 |
+
epoch: 146 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.020 | time: 1:41:15.4 | step: 6610
|
| 672 |
+
epoch: 147 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.016 | time: 1:41:23.8 | step: 6620
|
| 673 |
+
epoch: 147 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.024 | time: 1:41:32.6 | step: 6630
|
| 674 |
+
epoch: 147 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.012 | time: 1:41:41.5 | step: 6640
|
| 675 |
+
epoch: 147 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.035 | time: 1:41:50.4 | step: 6650
|
| 676 |
+
epoch: 147 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.021 | time: 1:41:58.7 | step: 6660
|
| 677 |
+
epoch: 148 | 9/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.025 | time: 1:42:07.7 | step: 6670
|
| 678 |
+
epoch: 148 | 19/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 1:42:16.6 | step: 6680
|
| 679 |
+
epoch: 148 | 29/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.011 | time: 1:42:25.5 | step: 6690
|
| 680 |
+
epoch: 148 | 39/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.010 | time: 1:42:34.3 | step: 6700
|
| 681 |
+
epoch: 149 | 4/ 45 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0001 | loss: 0.006 | time: 1:42:42.7 | step: 6710
|
| 682 |
+
epoch: 149 | 14/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.005 | time: 1:42:51.5 | step: 6720
|
| 683 |
+
epoch: 149 | 24/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.023 | time: 1:43:00.4 | step: 6730
|
| 684 |
+
epoch: 149 | 34/ 45 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0001 | loss: 0.006 | time: 1:43:09.2 | step: 6740
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| 685 |
+
epoch: 149 | 44/ 45 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0001 | loss: 0.019 | time: 1:43:17.6 | step: 6750
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furry/aro/aro41/logs/44k/diffusion/logs/events.out.tfevents.1692279494.6b26460b6557.23381.0
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2023-08-17 15:22:10,425 44k INFO {'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, 'half_type': 'fp16', 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 3, 'all_in_mem': False, 'vol_aug': True}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050, 'unit_interpolate_mode': 'nearest'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [8, 8, 2, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'n_layers_trans_flow': 3, 'n_flow_layer': 4, 'use_spectral_norm': False, 'gin_channels': 768, 'ssl_dim': 768, 'n_speakers': 8, 'vocoder_name': 'nsf-hifigan', 'speech_encoder': 'vec768l12', 'speaker_embedding': False, 'vol_embedding': True, 'use_depthwise_conv': False, 'flow_share_parameter': False, 'use_automatic_f0_prediction': True, 'use_transformer_flow': False}, 'spk': {'aro_sweet': 0, 'aro_normal': 1, 'aro_light': 2, 'aro_whisper': 3, 'aro_tender': 4, 'aro_power': 5, 'aro_dark': 6, 'aro_adult': 7}, 'model_dir': './logs/44k'}
|
| 2 |
+
2023-08-17 15:22:23,720 44k INFO emb_g.weight is not in the checkpoint
|
| 3 |
+
2023-08-17 15:22:23,720 44k INFO emb_vol.weight is not in the checkpoint
|
| 4 |
+
2023-08-17 15:22:23,720 44k INFO emb_vol.bias is not in the checkpoint
|
| 5 |
+
2023-08-17 15:22:23,798 44k INFO Loaded checkpoint './logs/44k/G_0.pth' (iteration 0)
|
| 6 |
+
2023-08-17 15:22:25,036 44k INFO Loaded checkpoint './logs/44k/D_0.pth' (iteration 0)
|
| 7 |
+
2023-08-17 15:26:03,027 44k INFO Train Epoch: 1 [56%]
|
| 8 |
+
2023-08-17 15:26:03,028 44k INFO Losses: [2.5576305389404297, 2.2087337970733643, 17.643268585205078, 22.64542579650879, 1.5581012964248657], step: 200, lr: 0.0001, reference_loss: 46.613162994384766
|
| 9 |
+
2023-08-17 15:28:24,256 44k INFO ====> Epoch: 1, cost 373.84 s
|
| 10 |
+
2023-08-17 15:29:17,165 44k INFO Train Epoch: 2 [12%]
|
| 11 |
+
2023-08-17 15:29:17,166 44k INFO Losses: [2.1168274879455566, 2.9472110271453857, 12.475791931152344, 18.62888526916504, 1.3812187910079956], step: 400, lr: 9.99875e-05, reference_loss: 37.54993438720703
|
| 12 |
+
2023-08-17 15:31:55,170 44k INFO Train Epoch: 2 [68%]
|
| 13 |
+
2023-08-17 15:31:55,171 44k INFO Losses: [2.2963595390319824, 2.8945212364196777, 12.427124977111816, 20.10533905029297, 1.331030011177063], step: 600, lr: 9.99875e-05, reference_loss: 39.05437469482422
|
| 14 |
+
2023-08-17 15:33:26,375 44k INFO ====> Epoch: 2, cost 302.12 s
|
| 15 |
+
2023-08-17 15:34:50,731 44k INFO Train Epoch: 3 [24%]
|
| 16 |
+
2023-08-17 15:34:50,736 44k INFO Losses: [2.1560511589050293, 2.912745237350464, 12.682981491088867, 20.274463653564453, 0.9434249997138977], step: 800, lr: 9.99750015625e-05, reference_loss: 38.96966552734375
|
| 17 |
+
2023-08-17 15:35:39,004 44k INFO Saving model and optimizer state at iteration 3 to ./logs/44k/G_800.pth
|
| 18 |
+
2023-08-17 15:35:45,524 44k INFO Saving model and optimizer state at iteration 3 to ./logs/44k/D_800.pth
|
| 19 |
+
2023-08-17 15:38:32,528 44k INFO Train Epoch: 3 [81%]
|
| 20 |
+
2023-08-17 15:38:32,530 44k INFO Losses: [2.099100112915039, 3.036345958709717, 16.33808135986328, 19.81005859375, 1.01120924949646], step: 1000, lr: 9.99750015625e-05, reference_loss: 42.29479217529297
|
| 21 |
+
2023-08-17 15:39:29,118 44k INFO ====> Epoch: 3, cost 362.74 s
|
| 22 |
+
2023-08-17 15:41:25,913 44k INFO Train Epoch: 4 [37%]
|
| 23 |
+
2023-08-17 15:41:25,918 44k INFO Losses: [2.078648567199707, 3.0924131870269775, 13.713207244873047, 18.991626739501953, 1.1123517751693726], step: 1200, lr: 9.996250468730469e-05, reference_loss: 38.98824691772461
|
| 24 |
+
2023-08-17 15:44:03,305 44k INFO Train Epoch: 4 [93%]
|
| 25 |
+
2023-08-17 15:44:03,310 44k INFO Losses: [1.9055949449539185, 2.90034556388855, 18.006919860839844, 18.755510330200195, 1.0224320888519287], step: 1400, lr: 9.996250468730469e-05, reference_loss: 42.59080123901367
|
| 26 |
+
2023-08-17 15:44:25,629 44k INFO ====> Epoch: 4, cost 296.51 s
|
| 27 |
+
2023-08-17 15:46:56,674 44k INFO Train Epoch: 5 [49%]
|
| 28 |
+
2023-08-17 15:46:56,678 44k INFO Losses: [2.247441053390503, 2.5629279613494873, 16.587787628173828, 18.015050888061523, 1.033828616142273], step: 1600, lr: 9.995000937421877e-05, reference_loss: 40.44703674316406
|
| 29 |
+
2023-08-17 15:47:14,311 44k INFO Saving model and optimizer state at iteration 5 to ./logs/44k/G_1600.pth
|
| 30 |
+
2023-08-17 15:47:20,260 44k INFO Saving model and optimizer state at iteration 5 to ./logs/44k/D_1600.pth
|