text stringlengths 0 1.16k |
|---|
FINAL_ANSWER=RESULT(var=ANSWER2) |
torch.Size([13, 3, 448, 448]) |
torch.Size([7, 3, 448, 448]) |
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer' |
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' |
ζεηζ¦ηεεΈδΈΊ:Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer' |
{True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998} |
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' |
ζεηζ¦ηεεΈδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998} |
torch.Size([13, 3, 448, 448]) |
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer' |
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' |
ζεηζ¦ηεεΈδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998} |
torch.Size([13, 3, 448, 448]) |
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer' |
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' |
ζεηζ¦ηεεΈδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998} |
ANSWER0=VQA(image=LEFT,question='Is there a black dog with a white muzzle?') |
ANSWER1=VQA(image=RIGHT,question='Is there a black dog with a white muzzle?') |
ANSWER2=EVAL(expr='{ANSWER0} xor {ANSWER1}') |
FINAL_ANSWER=RESULT(var=ANSWER2) |
torch.Size([7, 3, 448, 448]) |
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer' |
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' |
ζεηζ¦ηεεΈδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998} |
[2024-10-22 17:08:11,814] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | optimizer_allgather: 1.53 | optimizer_gradients: 0.83 | optimizer_step: 0.32 |
[2024-10-22 17:08:11,815] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | forward_microstep: 105.78 | backward_microstep: 1.47 | backward_inner_microstep: 0.61 | backward_allreduce_microstep: 0.78 | step_microstep: 115.72 |
[2024-10-22 17:08:11,815] [INFO] [logging.py:96:log_dist] [Rank 0] rank=0 time (ms) | forward: 105.79 | backward: 1.47 | backward_inner: 0.61 | backward_allreduce: 0.78 | step: 115.72 |
0%| | 5/26352 [00:14<10:06:09, 1.38s/it]Registering VQA_lavis step |
Registering EVAL step |
Registering RESULT step |
Registering VQA_lavis step |
Registering EVAL step |
Registering RESULT step |
ANSWER0=VQA(image=LEFT,question='How many skunks are on the piece of wood?') |
ANSWER1=VQA(image=RIGHT,question='How many skunks are on the piece of wood?') |
ANSWER2=EVAL(expr='{ANSWER0} == 2 and {ANSWER1} == 2') |
FINAL_ANSWER=RESULT(var=ANSWER2) |
Registering VQA_lavis step |
Registering EVAL step |
Registering RESULT step |
Registering VQA_lavis step |
Registering EVAL step |
Registering RESULT step |
ANSWER0=VQA(image=LEFT,question='Are the birds only drinking water?') |
ANSWER1=VQA(image=RIGHT,question='Are the birds only drinking water?') |
ANSWER2=EVAL(expr='{ANSWER0} xor {ANSWER1}') |
FINAL_ANSWER=RESULT(var=ANSWER2) |
ANSWER0=VQA(image=LEFT,question='Do any of the birds have their wings spread?') |
ANSWER1=VQA(image=RIGHT,question='Do any of the birds have their wings spread?') |
ANSWER2=EVAL(expr='{ANSWER0} or {ANSWER1}') |
FINAL_ANSWER=RESULT(var=ANSWER2) |
torch.Size([13, 3, 448, 448]) |
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer' |
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' |
torch.Size([7, 3, 448, 448]) |
ζεηζ¦ηεεΈδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998} |
ANSWER0=VQA(image=RIGHT,question='How many ducks are in the image?') |
ANSWER1=EVAL(expr='{ANSWER0} == 1') |
FINAL_ANSWER=RESULT(var=ANSWER1) |
ANSWER0=VQA(image=LEFT,question='Are any of the dogs actively moving by running, jumping, or walking?') |
ANSWER1=VQA(image=RIGHT,question='Are any of the dogs actively moving by running, jumping, or walking?') |
ANSWER2=EVAL(expr='{ANSWER0} or {ANSWER1}') |
FINAL_ANSWER=RESULT(var=ANSWER2) |
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer' |
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' |
torch.Size([7, 3, 448, 448]) |
ζεηζ¦ηεεΈδΈΊ: {True: 1e-09, False: 1e-09, 'Execute Error': 0.999999998} |
Encountered ExecuteError: 'InternVLChatModel' object has no attribute 'tokenizer' |
Encountered TypeError: unsupported operand type(s) for +: 'NoneType' and 'str' |
[2024-10-22 17:08:45,632] torch.distributed.run: [WARNING] |
[2024-10-22 17:08:45,632] torch.distributed.run: [WARNING] ***************************************** |
[2024-10-22 17:08:45,632] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. |
[2024-10-22 17:08:45,632] torch.distributed.run: [WARNING] ***************************************** |
[2024-10-22 17:08:47,345] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
[2024-10-22 17:08:47,362] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
[2024-10-22 17:08:47,372] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
[2024-10-22 17:08:47,373] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
[2024-10-22 17:08:50,367] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented |
[2024-10-22 17:08:50,367] [INFO] [comm.py:616:init_distributed] cdb=None |
[2024-10-22 17:08:50,367] [INFO] [comm.py:643:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl |
10/22/2024 17:08:50 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: False |
10/22/2024 17:08:50 - INFO - __main__ - Training/evaluation parameters TrainingArguments( |
_n_gpu=1, |
adafactor=False, |
adam_beta1=0.9, |
adam_beta2=0.999, |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.