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/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:481: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:338: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
The following values were not passed to `accelerate launch` and had defaults used instead:
`--num_processes` was set to a value of `0`
`--num_machines` was set to a value of `1`
`--mixed_precision` was set to a value of `'no'`
`--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:481: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:338: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:338: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
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/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/__init__.py:46: UserWarning: apex not installed, gpu_migration will not swap api for this package.
warnings.warn(
2024-05-27:09:06:13,829 INFO [__main__.py:251] Verbosity set to INFO
2024-05-27:09:06:23,256 INFO [__main__.py:335] Selected Tasks: ['indic_arc_easy_hi']
2024-05-27:09:06:23,257 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
2024-05-27:09:06:23,259 INFO [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': 'google/gemma-7b'}
[W socket.cpp:464] [c10d] The server socket cannot be initialized on [::]:12345 (errno: 97 - Address family not supported by protocol).
[W socket.cpp:697] [c10d] The client socket cannot be initialized to connect to [localhost]:12345 (errno: 97 - Address family not supported by protocol).
[W socket.cpp:697] [c10d] The client socket cannot be initialized to connect to [localhost]:12345 (errno: 97 - Address family not supported by protocol).
[W socket.cpp:697] [c10d] The client socket cannot be initialized to connect to [localhost]:12345 (errno: 97 - Address family not supported by protocol).
2024-05-27:09:06:25,576 INFO [huggingface.py:164] Using device 'cuda'
/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
warnings.warn(
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`config.hidden_act` is ignored, you should use `config.hidden_activation` instead.
Gemma's activation function will be set to `gelu_pytorch_tanh`. Please, use
`config.hidden_activation` if you want to override this behaviour.
See https://github.com/huggingface/transformers/pull/29402 for more details.
Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]============================= HABANA PT BRIDGE CONFIGURATION ===========================
PT_HPU_LAZY_MODE = 1
PT_RECIPE_CACHE_PATH =
PT_CACHE_FOLDER_DELETE = 0
PT_HPU_RECIPE_CACHE_CONFIG =
PT_HPU_MAX_COMPOUND_OP_SIZE = 9223372036854775807
PT_HPU_LAZY_ACC_PAR_MODE = 1
PT_HPU_ENABLE_REFINE_DYNAMIC_SHAPES = 0
---------------------------: System Configuration :---------------------------
Num CPU Cores : 160
CPU RAM : 1056375284 KB
------------------------------------------------------------------------------
/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way.
warnings.warn(
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2024-05-27:09:07:56,558 INFO [huggingface.py:276] Model type is 'gemma', a BOS token will be used as Gemma underperforms without it.
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2024-05-27:09:08:01,074 WARNING [task.py:322] [Task: indic_arc_easy_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
2024-05-27:09:08:01,074 WARNING [task.py:322] [Task: indic_arc_easy_hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
2024-05-27:09:08:01,300 WARNING [evaluator.py:239] Overwriting default num_fewshot of indic_arc_easy_hi from None to 5
2024-05-27:09:08:01,320 INFO [task.py:395] Building contexts for indic_arc_easy_hi on rank 0...
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2024-05-27:09:08:42,191 INFO [evaluator.py:379] Running loglikelihood requests
Running loglikelihood requests: 0%| | 0/9501 [00:00<?, ?it/s]
Running loglikelihood requests: 0%| | 1/9501 [01:03<168:16:14, 63.77s/it]
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Running loglikelihood requests: 1%| | 61/9501 [01:04<1:04:03, 2.46it/s]
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Running loglikelihood requests: 1%|▏ | 131/9501 [02:43<3:53:27, 1.49s/it]
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fatal: detected dubious ownership in repository at '/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness'
To add an exception for this directory, call:
git config --global --add safe.directory /mnt/weka/peacock/idc/cronscript/lm-evaluation-harness
|