| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=8, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=5000, lr=0.0003, optimizer='Adam', resume='', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| model: | |
| base_learning_rate: 1.0e-05 | |
| params: | |
| ddconfig: | |
| attn_resolutions: | |
| - 32 | |
| ch: 128 | |
| ch_mult: | |
| - 1 | |
| - 1 | |
| - 2 | |
| - 4 | |
| double_z: false | |
| dropout: 0.0 | |
| in_channels: 3 | |
| num_res_blocks: 2 | |
| out_ch: 3 | |
| resolution: 256 | |
| z_channels: 256 | |
| embed_dim: 256 | |
| lossconfig: | |
| params: | |
| codebook_weight: 1.0 | |
| disc_conditional: false | |
| disc_in_channels: 3 | |
| disc_start: 100001 | |
| disc_weight: 0.2 | |
| target: vqloss.VQLPIPSWithDiscriminator | |
| n_embed: 8192 | |
| target: vqmodel.VQModel | |
| Working with z of shape (1, 256, 32, 32) = 262144 dimensions. | |
| loaded pretrained LPIPS loss from taming/modules/autoencoder/lpips/vgg.pth | |
| VQLPIPSWithDiscriminator running with hinge loss. | |
| Number of parameters: 730671360 | |
| Running on 16 GPUs total | |
| => no checkpoint loaded, will train from scratch | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.9/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| Iteration: 0 | Training loss: 9.269855499267578 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_0_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 5000 | Training loss: 6.228412897777558 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_5000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 10000 | Training loss: 5.677635769701004 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_10000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 15000 | Training loss: 5.588409051990509 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_15000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 20000 | Training loss: 5.531276674461365 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_20000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 25000 | Training loss: 5.4793645988941195 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_25000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 30000 | Training loss: 5.441831717920303 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_30000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 35000 | Training loss: 5.411573132991791 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_35000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 40000 | Training loss: 5.390492297029495 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_40000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 45000 | Training loss: 5.360090880012512 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_45000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 50000 | Training loss: 5.344044271087647 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_50000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 55000 | Training loss: 5.335392073106766 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_55000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 60000 | Training loss: 5.314779483127594 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_60000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 65000 | Training loss: 5.292163775300979 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_65000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 70000 | Training loss: 5.281603284406662 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_70000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 75000 | Training loss: 5.264535038089752 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_75000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 80000 | Training loss: 5.256706160640716 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_80000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 85000 | Training loss: 5.249376992893219 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_85000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 90000 | Training loss: 5.237781165266037 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_90000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 95000 | Training loss: 5.229439442396164 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_95000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 100000 | Training loss: 5.222921891212463 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_100000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 105000 | Training loss: 5.214226239681244 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_105000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 110000 | Training loss: 5.207693300676346 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_110000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 115000 | Training loss: 5.194360571146011 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_115000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 120000 | Training loss: 5.1919717218875885 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_120000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 125000 | Training loss: 5.191810512542725 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_125000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 130000 | Training loss: 5.170573520088196 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_130000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 135000 | Training loss: 5.571219595909119 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_135000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 140000 | Training loss: 5.75581296043396 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_140000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 145000 | Training loss: 5.1849900501728055 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_145000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 150000 | Training loss: 5.168959885025024 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_150000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 155000 | Training loss: 5.159844536018372 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_155000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 160000 | Training loss: 5.3883808923721315 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_160000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 165000 | Training loss: 5.556298746442795 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_165000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 170000 | Training loss: 5.1485559203624724 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_170000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 175000 | Training loss: 5.140151729488373 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_175000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 180000 | Training loss: 5.137233607387543 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_180000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 185000 | Training loss: 5.1244073034763336 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_185000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| Iteration: 190000 | Training loss: 5.122972550725937 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/model_190000_36l_20h_1280e_96b_0.0003lr_Adamo_0s.pt | |
| slurmstepd: error: *** JOB 24732571 ON ga002 CANCELLED AT 2022-09-13T09:42:28 DUE TO TIME LIMIT *** | |
| slurmstepd: error: *** STEP 24732571.0 ON ga002 CANCELLED AT 2022-09-13T09:42:28 DUE TO TIME LIMIT *** | |
| srun: Job step aborted: Waiting up to 32 seconds for job step to finish. | |