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2024-06-05 03:05:23.315324: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-06-05 03:05:23.315399: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-06-05 03:05:23.317038: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-06-05 03:05:23.326431: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-06-05 03:05:26.483871: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
06/05/2024 03:05:35 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 6, distributed training: False, 16-bits training: False
06/05/2024 03:05:35 - INFO - __main__ - Training/evaluation parameters TrainingArguments(
_n_gpu=6,
accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None},
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
auto_find_batch_size=False,
bf16=False,
bf16_full_eval=False,
data_seed=None,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_persistent_workers=False,
dataloader_pin_memory=True,
dataloader_prefetch_factor=None,
ddp_backend=None,
ddp_broadcast_buffers=None,
ddp_bucket_cap_mb=None,
ddp_find_unused_parameters=None,
ddp_timeout=1800,
debug=[],
deepspeed=None,
disable_tqdm=False,
dispatch_batches=None,
do_eval=True,
do_predict=False,
do_train=True,
eval_accumulation_steps=None,
eval_delay=0,
eval_do_concat_batches=True,
eval_steps=1000,
eval_strategy=steps,
evaluation_strategy=None,
fp16=False,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
fsdp=[],
fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
fsdp_min_num_params=0,
fsdp_transformer_layer_cls_to_wrap=None,
full_determinism=False,
gradient_accumulation_steps=1,
gradient_checkpointing=False,
gradient_checkpointing_kwargs=None,
greater_is_better=None,
group_by_length=False,
half_precision_backend=auto,
hub_always_push=False,
hub_model_id=DorinSht/ShareGPT_llama2_68M,
hub_private_repo=False,
hub_strategy=all_checkpoints,
hub_token=<HUB_TOKEN>,
ignore_data_skip=False,
include_inputs_for_metrics=False,
include_num_input_tokens_seen=False,
include_tokens_per_second=False,
jit_mode_eval=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=0.0001,
length_column_name=length,
load_best_model_at_end=False,
local_rank=0,
log_level=passive,
log_level_replica=warning,
log_on_each_node=True,
logging_dir=./training_outputs_job_117568_1_05-06_03-05,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=500,
logging_strategy=steps,
lr_scheduler_kwargs={},
lr_scheduler_type=linear,
max_grad_norm=1.0,
max_steps=-1,
metric_for_best_model=None,
mp_parameters=,
neftune_noise_alpha=None,
no_cuda=False,
num_train_epochs=3.0,
optim=adamw_torch,
optim_args=None,
optim_target_modules=None,
output_dir=./training_outputs_job_117568_1_05-06_03-05,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=8,
per_device_train_batch_size=4,
prediction_loss_only=False,
push_to_hub=True,
push_to_hub_model_id=None,
push_to_hub_organization=None,
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
ray_scope=last,
remove_unused_columns=True,
report_to=['tensorboard'],
restore_callback_states_from_checkpoint=False,
resume_from_checkpoint=None,
run_name=/home/dshteyma/target_draft_coupling_code/target_draft_training/training_outputs,
save_on_each_node=False,
save_only_model=False,
save_safetensors=True,
save_steps=1000,
save_strategy=steps,
save_total_limit=None,
seed=42,
skip_memory_metrics=True,
split_batches=None,
tf32=None,
torch_compile=False,
torch_compile_backend=None,
torch_compile_mode=None,
torchdynamo=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_cpu=False,
use_ipex=False,
use_legacy_prediction_loop=False,
use_mps_device=False,
warmup_ratio=0.05,
warmup_steps=0,
weight_decay=0.01,
)
Using custom data configuration default-afe4b27d28cbdcb1
06/05/2024 03:05:35 - INFO - datasets.builder - Using custom data configuration default-afe4b27d28cbdcb1
Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
06/05/2024 03:05:35 - INFO - datasets.info - Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
Overwrite dataset info from restored data version if exists.
06/05/2024 03:05:36 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 03:05:36 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 03:05:36 - INFO - datasets.builder - Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 03:05:36 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
Using custom data configuration default-afe4b27d28cbdcb1
06/05/2024 03:05:36 - INFO - datasets.builder - Using custom data configuration default-afe4b27d28cbdcb1
Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
06/05/2024 03:05:36 - INFO - datasets.info - Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
06/05/2024 03:05:36 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.
Overwrite dataset info from restored data version if exists.
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 03:05:36 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
06/05/2024 03:05:36 - INFO - datasets.builder - Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 03:05:36 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
Using custom data configuration default-afe4b27d28cbdcb1
06/05/2024 03:05:37 - INFO - datasets.builder - Using custom data configuration default-afe4b27d28cbdcb1
Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
06/05/2024 03:05:37 - INFO - datasets.info - Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
Overwrite dataset info from restored data version if exists.
06/05/2024 03:05:37 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 03:05:37 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 03:05:37 - INFO - datasets.builder - Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 03:05:37 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
[INFO|configuration_utils.py:726] 2024-06-05 03:05:37,626 >> loading configuration file config.json from cache at /home/dshteyma/.cache/huggingface/hub/models--JackFram--llama-68m/snapshots/964a5d77df908b69f8d6476fb70e940425b04cb5/config.json
[INFO|configuration_utils.py:789] 2024-06-05 03:05:37,628 >> Model config LlamaConfig {
"_name_or_path": "JackFram/llama-68m",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 0,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 2048,
"model_type": "llama",
"num_attention_heads": 12,
"num_hidden_layers": 2,
"num_key_value_heads": 12,
"pad_token_id": 1,
"pretraining_tp": 1,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 10000.0,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.41.0.dev0",
"use_cache": true,
"vocab_size": 32000
}
[INFO|tokenization_utils_base.py:2102] 2024-06-05 03:05:37,771 >> loading file tokenizer.model from cache at /home/dshteyma/.cache/huggingface/hub/models--JackFram--llama-68m/snapshots/964a5d77df908b69f8d6476fb70e940425b04cb5/tokenizer.model
[INFO|tokenization_utils_base.py:2102] 2024-06-05 03:05:37,771 >> loading file tokenizer.json from cache at None
[INFO|tokenization_utils_base.py:2102] 2024-06-05 03:05:37,771 >> loading file added_tokens.json from cache at None
[INFO|tokenization_utils_base.py:2102] 2024-06-05 03:05:37,771 >> loading file special_tokens_map.json from cache at /home/dshteyma/.cache/huggingface/hub/models--JackFram--llama-68m/snapshots/964a5d77df908b69f8d6476fb70e940425b04cb5/special_tokens_map.json
[INFO|tokenization_utils_base.py:2102] 2024-06-05 03:05:37,771 >> loading file tokenizer_config.json from cache at /home/dshteyma/.cache/huggingface/hub/models--JackFram--llama-68m/snapshots/964a5d77df908b69f8d6476fb70e940425b04cb5/tokenizer_config.json
[WARNING|logging.py:329] 2024-06-05 03:05:37,772 >> You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
[WARNING|logging.py:329] 2024-06-05 03:05:37,868 >> You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
[INFO|configuration_utils.py:936] 2024-06-05 03:05:38,449 >> Generate config GenerationConfig {
"bos_token_id": 0,
"eos_token_id": 2,
"pad_token_id": 1
}
06/05/2024 03:05:39 - INFO - __main__ - Training new model from scratch - Total size=64.88M params
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-988d048fea8d2473.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-988d048fea8d2473.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-4e281c930893bca9.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-4e281c930893bca9.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-3fe350bccdda6078.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-3fe350bccdda6078.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-35d09b588a0c62b9.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-35d09b588a0c62b9.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-4e5279ee31a5d8d3.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-4e5279ee31a5d8d3.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-63d56456928edd43.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-63d56456928edd43.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-6a784a78d9818240.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-6a784a78d9818240.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-46540f58a00a92bf.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-46540f58a00a92bf.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-73605724efaea9d2.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-73605724efaea9d2.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-83d3df87e1b82021.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-83d3df87e1b82021.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-efdbb02491aa6344.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-efdbb02491aa6344.arrow
06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-0cf2ae38fef927f3.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-0cf2ae38fef927f3.arrow
06/05/2024 03:05:39 - WARNING - accelerate.utils.other - Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
[INFO|trainer.py:2068] 2024-06-05 03:05:40,316 >> ***** Running training *****
[INFO|trainer.py:2069] 2024-06-05 03:05:40,316 >> Num examples = 90,745
[INFO|trainer.py:2070] 2024-06-05 03:05:40,316 >> Num Epochs = 3
[INFO|trainer.py:2071] 2024-06-05 03:05:40,316 >> Instantaneous batch size per device = 4
[INFO|trainer.py:2073] 2024-06-05 03:05:40,316 >> Training with DataParallel so batch size has been adjusted to: 24
[INFO|trainer.py:2074] 2024-06-05 03:05:40,316 >> Total train batch size (w. parallel, distributed & accumulation) = 24
[INFO|trainer.py:2075] 2024-06-05 03:05:40,316 >> Gradient Accumulation steps = 1
[INFO|trainer.py:2076] 2024-06-05 03:05:40,316 >> Total optimization steps = 11,346
[INFO|trainer.py:2077] 2024-06-05 03:05:40,317 >> Number of trainable parameters = 68,030,208
0%| | 0/11346 [00:00<?, ?it/s]/home/dshteyma/miniconda3/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
warnings.warn('Was asked to gather along dimension 0, but all '
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[11:11<2:52:43, 1.03it/s] 6%|β–Œ | 687/11346 [11:12<2:52:38, 1.03it/s] 6%|β–Œ | 688/11346 [11:13<2:52:38, 1.03it/s] 6%|β–Œ | 689/11346 [11:14<2:52:39, 1.03it/s] 6%|β–Œ | 690/11346 [11:15<2:52:38, 1.03it/s] 6%|β–Œ | 691/11346 [11:16<2:52:46, 1.03it/s] 6%|β–Œ | 692/11346 [11:17<2:52:42, 1.03it/s] 6%|β–Œ | 693/11346 [11:18<2:52:41, 1.03it/s] 6%|β–Œ | 694/11346 [11:19<2:52:39, 1.03it/s] 6%|β–Œ | 695/11346 [11:20<2:52:39, 1.03it/s] 6%|β–Œ | 696/11346 [11:20<2:52:35, 1.03it/s] 6%|β–Œ | 697/11346 [11:21<2:52:37, 1.03it/s] 6%|β–Œ | 698/11346 [11:22<2:52:38, 1.03it/s] 6%|β–Œ | 699/11346 [11:23<2:52:33, 1.03it/s] 6%|β–Œ | 700/11346 [11:24<2:52:31, 1.03it/s] 6%|β–Œ | 701/11346 [11:25<2:52:29, 1.03it/s] 6%|β–Œ | 702/11346 [11:26<2:52:29, 1.03it/s] 6%|β–Œ | 703/11346 [11:27<2:52:29, 1.03it/s] 6%|β–Œ | 704/11346 [11:28<2:52:26, 1.03it/s] 6%|β–Œ | 705/11346 [11:29<2:52:21, 1.03it/s] 6%|β–Œ | 706/11346 [11:30<2:52:24, 1.03it/s] 6%|β–Œ | 707/11346 [11:31<2:52:20, 1.03it/s] 6%|β–Œ | 708/11346 [11:32<2:52:20, 1.03it/s] 6%|β–Œ | 709/11346 [11:33<2:52:20, 1.03it/s] 6%|β–‹ | 710/11346 [11:34<2:52:20, 1.03it/s] 6%|β–‹ | 711/11346 [11:35<2:52:18, 1.03it/s] 6%|β–‹ | 712/11346 [11:36<2:52:15, 1.03it/s] 6%|β–‹ | 713/11346 [11:37<2:52:13, 1.03it/s] 6%|β–‹ | 714/11346 [11:38<2:52:13, 1.03it/s] 6%|β–‹ | 715/11346 [11:39<2:52:13, 1.03it/s] 6%|β–‹ | 716/11346 [11:40<2:52:14, 1.03it/s] 6%|β–‹ | 717/11346 [11:41<2:52:14, 1.03it/s] 6%|β–‹ | 718/11346 [11:42<2:52:13, 1.03it/s] 6%|β–‹ | 719/11346 [11:43<2:52:08, 1.03it/s] 6%|β–‹ | 720/11346 [11:44<2:52:05, 1.03it/s] 6%|β–‹ | 721/11346 [11:45<2:52:00, 1.03it/s] 6%|β–‹ | 722/11346 [11:46<2:52:01, 1.03it/s] 6%|β–‹ | 723/11346 [11:47<2:52:05, 1.03it/s] 6%|β–‹ | 724/11346 [11:48<2:52:05, 1.03it/s] 6%|β–‹ | 725/11346 [11:49<2:52:02, 1.03it/s] 6%|β–‹ | 726/11346 [11:50<2:52:06, 1.03it/s] 6%|β–‹ | 727/11346 [11:51<2:52:06, 1.03it/s] 6%|β–‹ | 728/11346 [11:52<2:52:02, 1.03it/s] 6%|β–‹ | 729/11346 [11:53<2:52:02, 1.03it/s] 6%|β–‹ | 730/11346 [11:54<2:52:03, 1.03it/s] 6%|β–‹ | 731/11346 [11:55<2:52:02, 1.03it/s] 6%|β–‹ | 732/11346 [11:55<2:52:00, 1.03it/s] 6%|β–‹ | 733/11346 [11:56<2:52:01, 1.03it/s] 6%|β–‹ | 734/11346 [11:57<2:51:58, 1.03it/s] 6%|β–‹ | 735/11346 [11:58<2:52:00, 1.03it/s] 6%|β–‹ | 736/11346 [11:59<2:51:54, 1.03it/s] 6%|β–‹ | 737/11346 [12:00<2:51:58, 1.03it/s] 7%|β–‹ | 738/11346 [12:01<2:51:58, 1.03it/s] 7%|β–‹ | 739/11346 [12:02<2:51:56, 1.03it/s] 7%|β–‹ | 740/11346 [12:03<2:51:52, 1.03it/s] 7%|β–‹ | 741/11346 [12:04<2:52:01, 1.03it/s] 7%|β–‹ | 742/11346 [12:05<2:51:56, 1.03it/s] 7%|β–‹ | 743/11346 [12:06<2:51:52, 1.03it/s] 7%|β–‹ | 744/11346 [12:07<2:51:49, 1.03it/s] 7%|β–‹ | 745/11346 [12:08<2:51:51, 1.03it/s] 7%|β–‹ | 746/11346 [12:09<2:51:55, 1.03it/s] 7%|β–‹ | 747/11346 [12:10<2:51:54, 1.03it/s] 7%|β–‹ | 748/11346 [12:11<3:04:33, 1.04s/it] 7%|β–‹ | 749/11346 [12:12<3:00:39, 1.02s/it] 7%|β–‹ | 750/11346 [12:13<2:57:52, 1.01s/it] 7%|β–‹ | 751/11346 [12:14<2:56:02, 1.00it/s] 7%|β–‹ | 752/11346 [12:15<2:54:40, 1.01it/s] 7%|β–‹ | 753/11346 [12:16<2:53:46, 1.02it/s] 7%|β–‹ | 754/11346 [12:17<2:53:09, 1.02it/s] 7%|β–‹ | 755/11346 [12:18<2:52:43, 1.02it/s] 7%|β–‹ | 756/11346 [12:19<2:52:19, 1.02it/s] 7%|β–‹ | 757/11346 [12:20<2:52:06, 1.03it/s] 7%|β–‹ | 758/11346 [12:21<2:51:53, 1.03it/s] 7%|β–‹ | 759/11346 [12:22<2:51:44, 1.03it/s] 7%|β–‹ | 760/11346 [12:23<2:51:40, 1.03it/s] 7%|β–‹ | 761/11346 [12:24<2:51:34, 1.03it/s] 7%|β–‹ | 762/11346 [12:25<2:51:31, 1.03it/s] 7%|β–‹ | 763/11346 [12:26<2:51:28, 1.03it/s] 7%|β–‹ | 764/11346 [12:27<2:51:28, 1.03it/s] 7%|β–‹ | 765/11346 [12:28<2:51:27, 1.03it/s] 7%|β–‹ | 766/11346 [12:29<2:51:20, 1.03it/s] 7%|β–‹ | 767/11346 [12:30<2:51:18, 1.03it/s] 7%|β–‹ | 768/11346 [12:31<2:51:19, 1.03it/s] 7%|β–‹ | 769/11346 [12:32<2:51:21, 1.03it/s] 7%|β–‹ | 770/11346 [12:33<2:51:22, 1.03it/s] 7%|β–‹ | 771/11346 [12:34<2:51:17, 1.03it/s] 7%|β–‹ | 772/11346 [12:35<2:51:17, 1.03it/s] 7%|β–‹ | 773/11346 [12:36<2:51:16, 1.03it/s] 7%|β–‹ | 774/11346 [12:37<2:51:12, 1.03it/s] 7%|β–‹ | 775/11346 [12:38<2:51:12, 1.03it/s] 7%|β–‹ | 776/11346 [12:39<2:51:08, 1.03it/s] 7%|β–‹ | 777/11346 [12:39<2:51:11, 1.03it/s] 7%|β–‹ | 778/11346 [12:40<2:51:10, 1.03it/s] 7%|β–‹ | 779/11346 [12:41<2:51:10, 1.03it/s] 7%|β–‹ | 780/11346 [12:42<2:51:08, 1.03it/s] 7%|β–‹ | 781/11346 [12:43<2:51:05, 1.03it/s] 7%|β–‹ | 782/11346 [12:44<2:51:02, 1.03it/s] 7%|β–‹ | 783/11346 [12:45<2:51:01, 1.03it/s] 7%|β–‹ | 784/11346 [12:46<2:51:02, 1.03it/s] 7%|β–‹ | 785/11346 [12:47<2:51:05, 1.03it/s] 7%|β–‹ | 786/11346 [12:48<2:51:04, 1.03it/s] 7%|β–‹ | 787/11346 [12:49<2:51:02, 1.03it/s] 7%|β–‹ | 788/11346 [12:50<2:51:02, 1.03it/s] 7%|β–‹ | 789/11346 [12:51<2:51:01, 1.03it/s] 7%|β–‹ | 790/11346 [12:52<2:50:58, 1.03it/s] 7%|β–‹ | 791/11346 [12:53<2:51:00, 1.03it/s] 7%|β–‹ | 792/11346 [12:54<2:50:56, 1.03it/s] 7%|β–‹ | 793/11346 [12:55<2:50:56, 1.03it/s] 7%|β–‹ | 794/11346 [12:56<2:50:57, 1.03it/s] 7%|β–‹ | 795/11346 [12:57<2:50:53, 1.03it/s] 7%|β–‹ | 796/11346 [12:58<2:50:54, 1.03it/s] 7%|β–‹ | 797/11346 [12:59<2:50:55, 1.03it/s] 7%|β–‹ | 798/11346 [13:00<2:50:59, 1.03it/s] 7%|β–‹ | 799/11346 [13:01<2:50:54, 1.03it/s] 7%|β–‹ | 800/11346 [13:02<2:50:47, 1.03it/s] 7%|β–‹ | 801/11346 [13:03<2:50:48, 1.03it/s] 7%|β–‹ | 802/11346 [13:04<2:50:51, 1.03it/s] 7%|β–‹ | 803/11346 [13:05<2:50:51, 1.03it/s] 7%|β–‹ | 804/11346 [13:06<2:50:50, 1.03it/s] 7%|β–‹ | 805/11346 [13:07<2:50:49, 1.03it/s] 7%|β–‹ | 806/11346 [13:08<2:50:47, 1.03it/s] 7%|β–‹ | 807/11346 [13:09<2:50:44, 1.03it/s] 7%|β–‹ | 808/11346 [13:10<2:50:40, 1.03it/s] 7%|β–‹ | 809/11346 [13:11<2:50:35, 1.03it/s] 7%|β–‹ | 810/11346 [13:12<2:50:41, 1.03it/s] 7%|β–‹ | 811/11346 [13:13<2:50:39, 1.03it/s] 7%|β–‹ | 812/11346 [13:13<2:50:37, 1.03it/s] 7%|β–‹ | 813/11346 [13:14<2:50:35, 1.03it/s] 7%|β–‹ | 814/11346 [13:15<2:50:35, 1.03it/s] 7%|β–‹ | 815/11346 [13:16<2:50:42, 1.03it/s] 7%|β–‹ | 816/11346 [13:17<2:50:37, 1.03it/s] 7%|β–‹ | 817/11346 [13:18<2:50:36, 1.03it/s] 7%|β–‹ | 818/11346 [13:19<2:50:35, 1.03it/s] 7%|β–‹ | 819/11346 [13:20<2:50:33, 1.03it/s] 7%|β–‹ | 820/11346 [13:21<2:50:35, 1.03it/s] 7%|β–‹ | 821/11346 [13:22<2:50:38, 1.03it/s] 7%|β–‹ | 822/11346 [13:23<2:50:32, 1.03it/s] 7%|β–‹ | 823/11346 [13:24<2:50:27, 1.03it/s] 7%|β–‹ | 824/11346 [13:25<2:50:24, 1.03it/s] 7%|β–‹ | 825/11346 [13:26<2:50:27, 1.03it/s] 7%|β–‹ | 826/11346 [13:27<2:50:27, 1.03it/s] 7%|β–‹ | 827/11346 [13:28<2:50:26, 1.03it/s] 7%|β–‹ | 828/11346 [13:29<2:50:33, 1.03it/s] 7%|β–‹ | 829/11346 [13:30<2:50:29, 1.03it/s] 7%|β–‹ | 830/11346 [13:31<2:50:24, 1.03it/s] 7%|β–‹ | 831/11346 [13:32<2:50:23, 1.03it/s] 7%|β–‹ | 832/11346 [13:33<2:50:24, 1.03it/s] 7%|β–‹ | 833/11346 [13:34<2:50:20, 1.03it/s] 7%|β–‹ | 834/11346 [13:35<2:50:16, 1.03it/s] 7%|β–‹ | 835/11346 [13:36<2:50:12, 1.03it/s] 7%|β–‹ | 836/11346 [13:37<2:50:16, 1.03it/s] 7%|β–‹ | 837/11346 [13:38<2:50:17, 1.03it/s] 7%|β–‹ | 838/11346 [13:39<2:50:15, 1.03it/s] 7%|β–‹ | 839/11346 [13:40<2:50:13, 1.03it/s] 7%|β–‹ | 840/11346 [13:41<2:50:10, 1.03it/s] 7%|β–‹ | 841/11346 [13:42<2:50:10, 1.03it/s] 7%|β–‹ | 842/11346 [13:43<2:50:10, 1.03it/s] 7%|β–‹ | 843/11346 [13:44<2:50:07, 1.03it/s] 7%|β–‹ | 844/11346 [13:45<2:50:02, 1.03it/s] 7%|β–‹ | 845/11346 [13:46<2:49:58, 1.03it/s] 7%|β–‹ | 846/11346 [13:47<2:50:00, 1.03it/s] 7%|β–‹ | 847/11346 [13:48<2:50:03, 1.03it/s] 7%|β–‹ | 848/11346 [13:48<2:50:03, 1.03it/s] 7%|β–‹ | 849/11346 [13:49<2:50:05, 1.03it/s] 7%|β–‹ | 850/11346 [13:50<2:50:01, 1.03it/s] 8%|β–Š | 851/11346 [13:51<2:50:09, 1.03it/s] 8%|β–Š | 852/11346 [13:52<2:50:04, 1.03it/s] 8%|β–Š | 853/11346 [13:53<2:50:03, 1.03it/s] 8%|β–Š | 854/11346 [13:54<2:50:04, 1.03it/s] 8%|β–Š | 855/11346 [13:55<2:50:01, 1.03it/s] 8%|β–Š | 856/11346 [13:56<2:49:57, 1.03it/s] 8%|β–Š | 857/11346 [13:57<2:49:57, 1.03it/s] 8%|β–Š | 858/11346 [13:58<2:49:55, 1.03it/s] 8%|β–Š | 859/11346 [13:59<2:49:52, 1.03it/s] 8%|β–Š | 860/11346 [14:00<2:49:51, 1.03it/s] 8%|β–Š | 861/11346 [14:01<2:49:48, 1.03it/s] 8%|β–Š | 862/11346 [14:02<2:49:46, 1.03it/s] 8%|β–Š | 863/11346 [14:03<2:49:45, 1.03it/s] 8%|β–Š | 864/11346 [14:04<2:49:47, 1.03it/s] 8%|β–Š | 865/11346 [14:05<2:49:48, 1.03it/s] 8%|β–Š | 866/11346 [14:06<2:49:48, 1.03it/s] 8%|β–Š | 867/11346 [14:07<2:49:48, 1.03it/s] 8%|β–Š | 868/11346 [14:08<2:49:51, 1.03it/s] 8%|β–Š | 869/11346 [14:09<2:49:48, 1.03it/s] 8%|β–Š | 870/11346 [14:10<2:49:48, 1.03it/s] 8%|β–Š | 871/11346 [14:11<2:49:43, 1.03it/s] 8%|β–Š | 872/11346 [14:12<2:49:38, 1.03it/s] 8%|β–Š | 873/11346 [14:13<2:49:38, 1.03it/s] 8%|β–Š | 874/11346 [14:14<2:49:41, 1.03it/s] 8%|β–Š | 875/11346 [14:15<2:49:38, 1.03it/s] 8%|β–Š | 876/11346 [14:16<2:49:35, 1.03it/s] 8%|β–Š | 877/11346 [14:17<2:49:34, 1.03it/s] 8%|β–Š | 878/11346 [14:18<2:49:31, 1.03it/s] 8%|β–Š | 879/11346 [14:19<2:49:34, 1.03it/s] 8%|β–Š | 880/11346 [14:20<2:49:32, 1.03it/s] 8%|β–Š | 881/11346 [14:21<2:49:32, 1.03it/s] 8%|β–Š | 882/11346 [14:22<2:49:39, 1.03it/s] 8%|β–Š | 883/11346 [14:23<2:49:32, 1.03it/s] 8%|β–Š | 884/11346 [14:23<2:49:25, 1.03it/s] 8%|β–Š | 885/11346 [14:24<2:49:24, 1.03it/s] 8%|β–Š | 886/11346 [14:25<2:49:23, 1.03it/s] 8%|β–Š | 887/11346 [14:26<2:49:24, 1.03it/s] 8%|β–Š | 888/11346 [14:27<2:49:25, 1.03it/s] 8%|β–Š | 889/11346 [14:28<2:49:21, 1.03it/s] 8%|β–Š | 890/11346 [14:29<2:49:17, 1.03it/s] 8%|β–Š | 891/11346 [14:30<2:49:20, 1.03it/s] 8%|β–Š | 892/11346 [14:31<2:49:22, 1.03it/s] 8%|β–Š | 893/11346 [14:32<2:49:17, 1.03it/s] 8%|β–Š | 894/11346 [14:33<2:49:19, 1.03it/s] 8%|β–Š | 895/11346 [14:34<2:49:22, 1.03it/s] 8%|β–Š | 896/11346 [14:35<2:49:19, 1.03it/s] 8%|β–Š | 897/11346 [14:36<2:49:17, 1.03it/s] 8%|β–Š | 898/11346 [14:37<2:49:24, 1.03it/s] 8%|β–Š | 899/11346 [14:38<2:49:20, 1.03it/s] 8%|β–Š | 900/11346 [14:39<2:49:14, 1.03it/s] 8%|β–Š | 901/11346 [14:40<2:49:16, 1.03it/s] 8%|β–Š | 902/11346 [14:41<2:49:12, 1.03it/s] 8%|β–Š | 903/11346 [14:42<2:49:08, 1.03it/s] 8%|β–Š | 904/11346 [14:43<2:49:13, 1.03it/s] 8%|β–Š | 905/11346 [14:44<2:49:17, 1.03it/s] 8%|β–Š | 906/11346 [14:45<2:49:15, 1.03it/s] 8%|β–Š | 907/11346 [14:46<2:49:08, 1.03it/s] 8%|β–Š | 908/11346 [14:47<2:49:09, 1.03it/s] 8%|β–Š | 909/11346 [14:48<2:49:06, 1.03it/s] 8%|β–Š | 910/11346 [14:49<2:49:07, 1.03it/s] 8%|β–Š | 911/11346 [14:50<2:49:04, 1.03it/s] 8%|β–Š | 912/11346 [14:51<2:49:13, 1.03it/s] 8%|β–Š | 913/11346 [14:52<2:49:08, 1.03it/s] 8%|β–Š | 914/11346 [14:53<2:49:06, 1.03it/s] 8%|β–Š | 915/11346 [14:54<2:49:03, 1.03it/s] 8%|β–Š | 916/11346 [14:55<2:49:04, 1.03it/s] 8%|β–Š | 917/11346 [14:56<2:49:02, 1.03it/s] 8%|β–Š | 918/11346 [14:57<2:49:00, 1.03it/s] 8%|β–Š | 919/11346 [14:58<2:48:58, 1.03it/s] 8%|β–Š | 920/11346 [14:58<2:49:00, 1.03it/s] 8%|β–Š | 921/11346 [14:59<2:48:58, 1.03it/s] 8%|β–Š | 922/11346 [15:00<2:49:00, 1.03it/s] 8%|β–Š | 923/11346 [15:01<2:49:00, 1.03it/s] 8%|β–Š | 924/11346 [15:02<2:48:57, 1.03it/s] 8%|β–Š | 925/11346 [15:03<2:48:52, 1.03it/s] 8%|β–Š | 926/11346 [15:04<2:48:47, 1.03it/s] 8%|β–Š | 927/11346 [15:05<2:48:45, 1.03it/s] 8%|β–Š | 928/11346 [15:06<2:48:44, 1.03it/s] 8%|β–Š | 929/11346 [15:07<2:48:45, 1.03it/s] 8%|β–Š | 930/11346 [15:08<2:48:47, 1.03it/s] 8%|β–Š | 931/11346 [15:09<2:48:46, 1.03it/s] 8%|β–Š | 932/11346 [15:10<2:48:43, 1.03it/s] 8%|β–Š | 933/11346 [15:11<2:48:43, 1.03it/s] 8%|β–Š | 934/11346 [15:12<2:48:42, 1.03it/s] 8%|β–Š | 935/11346 [15:13<2:48:41, 1.03it/s] 8%|β–Š | 936/11346 [15:14<2:48:37, 1.03it/s] 8%|β–Š | 937/11346 [15:15<2:48:32, 1.03it/s] 8%|β–Š | 938/11346 [15:16<2:48:42, 1.03it/s] 8%|β–Š | 939/11346 [15:17<2:48:41, 1.03it/s] 8%|β–Š | 940/11346 [15:18<2:48:38, 1.03it/s] 8%|β–Š | 941/11346 [15:19<2:48:35, 1.03it/s] 8%|β–Š | 942/11346 [15:20<2:48:35, 1.03it/s] 8%|β–Š | 943/11346 [15:21<2:48:30, 1.03it/s] 8%|β–Š | 944/11346 [15:22<2:48:26, 1.03it/s] 8%|β–Š | 945/11346 [15:23<2:48:24, 1.03it/s] 8%|β–Š | 946/11346 [15:24<2:48:26, 1.03it/s] 8%|β–Š | 947/11346 [15:25<2:48:34, 1.03it/s] 8%|β–Š | 948/11346 [15:26<2:48:28, 1.03it/s] 8%|β–Š | 949/11346 [15:27<2:48:28, 1.03it/s] 8%|β–Š | 950/11346 [15:28<2:48:30, 1.03it/s] 8%|β–Š | 951/11346 [15:29<2:48:30, 1.03it/s] 8%|β–Š | 952/11346 [15:30<2:48:31, 1.03it/s] 8%|β–Š | 953/11346 [15:31<2:48:28, 1.03it/s] 8%|β–Š | 954/11346 [15:32<2:48:31, 1.03it/s] 8%|β–Š | 955/11346 [15:33<2:48:25, 1.03it/s] 8%|β–Š | 956/11346 [15:33<2:48:19, 1.03it/s] 8%|β–Š | 957/11346 [15:34<2:48:20, 1.03it/s] 8%|β–Š | 958/11346 [15:35<2:48:17, 1.03it/s] 8%|β–Š | 959/11346 [15:36<2:48:16, 1.03it/s] 8%|β–Š | 960/11346 [15:37<2:48:15, 1.03it/s] 8%|β–Š | 961/11346 [15:38<2:48:15, 1.03it/s] 8%|β–Š | 962/11346 [15:39<2:48:13, 1.03it/s] 8%|β–Š | 963/11346 [15:40<2:48:11, 1.03it/s] 8%|β–Š | 964/11346 [15:41<2:48:13, 1.03it/s] 9%|β–Š | 965/11346 [15:42<2:48:12, 1.03it/s] 9%|β–Š | 966/11346 [15:43<2:48:09, 1.03it/s] 9%|β–Š | 967/11346 [15:44<2:48:09, 1.03it/s] 9%|β–Š | 968/11346 [15:45<2:48:11, 1.03it/s] 9%|β–Š | 969/11346 [15:46<2:48:09, 1.03it/s] 9%|β–Š | 970/11346 [15:47<2:48:04, 1.03it/s] 9%|β–Š | 971/11346 [15:48<2:48:03, 1.03it/s] 9%|β–Š | 972/11346 [15:49<2:48:06, 1.03it/s] 9%|β–Š | 973/11346 [15:50<2:48:06, 1.03it/s] 9%|β–Š | 974/11346 [15:51<2:48:00, 1.03it/s] 9%|β–Š | 975/11346 [15:52<2:48:02, 1.03it/s] 9%|β–Š | 976/11346 [15:53<2:48:03, 1.03it/s] 9%|β–Š | 977/11346 [15:54<2:48:03, 1.03it/s] 9%|β–Š | 978/11346 [15:55<2:47:59, 1.03it/s] 9%|β–Š | 979/11346 [15:56<2:47:59, 1.03it/s] 9%|β–Š | 980/11346 [15:57<2:47:57, 1.03it/s] 9%|β–Š | 981/11346 [15:58<2:47:51, 1.03it/s] 9%|β–Š | 982/11346 [15:59<2:47:47, 1.03it/s] 9%|β–Š | 983/11346 [16:00<2:47:45, 1.03it/s] 9%|β–Š | 984/11346 [16:01<2:47:51, 1.03it/s] 9%|β–Š | 985/11346 [16:02<2:47:50, 1.03it/s] 9%|β–Š | 986/11346 [16:03<2:47:49, 1.03it/s] 9%|β–Š | 987/11346 [16:04<2:47:50, 1.03it/s] 9%|β–Š | 988/11346 [16:05<2:47:47, 1.03it/s] 9%|β–Š | 989/11346 [16:06<2:47:46, 1.03it/s] 9%|β–Š | 990/11346 [16:07<2:47:42, 1.03it/s] 9%|β–Š | 991/11346 [16:08<2:47:49, 1.03it/s] 9%|β–Š | 992/11346 [16:08<2:47:49, 1.03it/s] 9%|β–‰ | 993/11346 [16:09<2:47:48, 1.03it/s] 9%|β–‰ | 994/11346 [16:10<2:47:55, 1.03it/s] 9%|β–‰ | 995/11346 [16:11<2:47:53, 1.03it/s] 9%|β–‰ | 996/11346 [16:12<2:47:48, 1.03it/s] 9%|β–‰ | 997/11346 [16:13<2:47:48, 1.03it/s] 9%|β–‰ | 998/11346 [16:14<2:47:47, 1.03it/s] 9%|β–‰ | 999/11346 [16:15<2:47:44, 1.03it/s] 9%|β–‰ | 1000/11346 [16:16<2:47:39, 1.03it/s] 9%|β–‰ | 1000/11346 [16:16<2:47:39, 1.03it/s][INFO|trainer.py:3662] 2024-06-05 03:21:57,117 >> ***** Running Evaluation *****
[INFO|trainer.py:3664] 2024-06-05 03:21:57,117 >> Num examples = 1840
[INFO|trainer.py:3667] 2024-06-05 03:21:57,117 >> Batch size = 48
{'loss': 5.1118, 'grad_norm': 0.8546391725540161, 'learning_rate': 8.816009873931059e-05, 'epoch': 0.13}
{'loss': 3.406, 'grad_norm': 0.8593688607215881, 'learning_rate': 9.59831475011252e-05, 'epoch': 0.26}
0%| | 0/39 [00:00<?, ?it/s]
5%|β–Œ | 2/39 [00:01<00:27, 1.34it/s]
8%|β–Š | 3/39 [00:02<00:37, 1.05s/it]
10%|β–ˆ | 4/39 [00:04<00:42, 1.22s/it]
13%|β–ˆβ–Ž | 5/39 [00:05<00:44, 1.31s/it]
15%|β–ˆβ–Œ | 6/39 [00:07<00:45, 1.37s/it]
18%|β–ˆβ–Š | 7/39 [00:08<00:44, 1.41s/it]
21%|β–ˆβ–ˆ | 8/39 [00:10<00:44, 1.43s/it]
23%|β–ˆβ–ˆβ–Ž | 9/39 [00:11<00:43, 1.45s/it]
26%|β–ˆβ–ˆβ–Œ | 10/39 [00:13<00:42, 1.46s/it]
28%|β–ˆβ–ˆβ–Š | 11/39 [00:14<00:41, 1.47s/it]
31%|β–ˆβ–ˆβ–ˆ | 12/39 [00:16<00:39, 1.47s/it]
33%|β–ˆβ–ˆβ–ˆβ–Ž | 13/39 [00:17<00:38, 1.48s/it]
36%|β–ˆβ–ˆβ–ˆβ–Œ | 14/39 [00:19<00:36, 1.48s/it]
38%|β–ˆβ–ˆβ–ˆβ–Š | 15/39 [00:20<00:35, 1.48s/it]
41%|β–ˆβ–ˆβ–ˆβ–ˆ | 16/39 [00:22<00:34, 1.48s/it]
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 17/39 [00:23<00:32, 1.48s/it]
46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 18/39 [00:25<00:31, 1.48s/it]
49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 19/39 [00:26<00:29, 1.48s/it]
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 20/39 [00:28<00:28, 1.48s/it]
54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 21/39 [00:29<00:26, 1.48s/it]
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 22/39 [00:31<00:25, 1.48s/it]
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 23/39 [00:32<00:23, 1.48s/it]
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 24/39 [00:34<00:22, 1.48s/it]
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 25/39 [00:35<00:20, 1.48s/it]
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/39 [00:37<00:19, 1.48s/it]
69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 27/39 [00:38<00:17, 1.48s/it]
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 28/39 [00:40<00:16, 1.48s/it]
74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 29/39 [00:41<00:14, 1.48s/it]
77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 30/39 [00:43<00:13, 1.48s/it]
79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 31/39 [00:44<00:11, 1.48s/it]
82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/39 [00:46<00:10, 1.48s/it]
85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 33/39 [00:47<00:08, 1.48s/it]
87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 34/39 [00:48<00:07, 1.48s/it]
90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 35/39 [00:50<00:05, 1.48s/it]
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 36/39 [00:51<00:04, 1.48s/it]
95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 37/39 [00:53<00:02, 1.48s/it]
97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 38/39 [00:54<00:01, 1.46s/it]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 39/39 [00:55<00:00, 1.16s/it]
 9%|β–‰ | 1000/11346 [17:30<2:47:39, 1.03it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 39/39 [01:12<00:00, 1.16s/it]
[INFO|trainer.py:3353] 2024-06-05 03:23:11,169 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000
[INFO|configuration_utils.py:471] 2024-06-05 03:23:11,183 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/config.json
[INFO|configuration_utils.py:705] 2024-06-05 03:23:11,189 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/generation_config.json
[INFO|modeling_utils.py:2592] 2024-06-05 03:23:12,091 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/model.safetensors
[INFO|tokenization_utils_base.py:2503] 2024-06-05 03:23:12,105 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/tokenizer_config.json
[INFO|tokenization_utils_base.py:2512] 2024-06-05 03:23:12,110 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/special_tokens_map.json
[INFO|tokenization_utils_base.py:2503] 2024-06-05 03:23:14,277 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/tokenizer_config.json
[INFO|tokenization_utils_base.py:2512] 2024-06-05 03:23:14,282 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/special_tokens_map.json
/home/dshteyma/miniconda3/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
warnings.warn('Was asked to gather along dimension 0, but all '