Training in progress, step 20

adapter_config.json

@@ -21,6 +21,7 @@
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training_args.bin

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 Traceback (most recent call last):
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@@ -37,194 +37,49 @@ Traceback (most recent call last):
   File "/opt/conda/lib/python3.10/subprocess.py", line 1951, in _wait
     raise TimeoutExpired(self.args, timeout)
 subprocess.TimeoutExpired: Command '['conda', 'env', 'export']' timed out after 15 seconds
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wandb/debug.log

@@ -1,31 +1,31 @@
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+2024-04-12 07:40:44,503 INFO    MainThread:443 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
+2024-04-12 07:40:44,503 INFO    MainThread:443 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
+2024-04-12 07:40:44,503 INFO    MainThread:443 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
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+2024-04-12 07:40:44,503 INFO    MainThread:443 [wandb_init.py:_log_setup():527] Logging user logs to /kaggle/working/wandb/run-20240412_074044-widovcn3/logs/debug.log
+2024-04-12 07:40:44,503 INFO    MainThread:443 [wandb_init.py:_log_setup():528] Logging internal logs to /kaggle/working/wandb/run-20240412_074044-widovcn3/logs/debug-internal.log
+2024-04-12 07:40:44,503 INFO    MainThread:443 [wandb_init.py:_jupyter_setup():473] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x79825186be20>
+2024-04-12 07:40:44,504 INFO    MainThread:443 [wandb_init.py:init():567] calling init triggers
+2024-04-12 07:40:44,504 INFO    MainThread:443 [wandb_init.py:init():574] wandb.init called with sweep_config: {}
 config: {}
-2024-04-12 07:35:55,745 INFO    MainThread:289 [wandb_init.py:init():617] starting backend
-2024-04-12 07:35:55,745 INFO    MainThread:289 [wandb_init.py:init():621] setting up manager
-2024-04-12 07:35:55,747 INFO    MainThread:289 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
-2024-04-12 07:35:55,748 INFO    MainThread:289 [wandb_init.py:init():629] backend started and connected
-2024-04-12 07:35:55,761 INFO    MainThread:289 [wandb_run.py:_label_probe_notebook():1299] probe notebook
-2024-04-12 07:35:56,159 INFO    MainThread:289 [wandb_init.py:init():721] updated telemetry
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+2024-04-12 07:40:44,504 INFO    MainThread:443 [wandb_init.py:init():617] starting backend
+2024-04-12 07:40:44,504 INFO    MainThread:443 [wandb_init.py:init():621] setting up manager
+2024-04-12 07:40:44,506 INFO    MainThread:443 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
+2024-04-12 07:40:44,507 INFO    MainThread:443 [wandb_init.py:init():629] backend started and connected
+2024-04-12 07:40:44,521 INFO    MainThread:443 [wandb_run.py:_label_probe_notebook():1299] probe notebook
+2024-04-12 07:40:44,781 INFO    MainThread:443 [wandb_init.py:init():721] updated telemetry
+2024-04-12 07:40:44,784 INFO    MainThread:443 [wandb_init.py:init():754] communicating run to backend with 90.0 second timeout
+2024-04-12 07:40:44,902 INFO    MainThread:443 [wandb_run.py:_on_init():2344] communicating current version
+2024-04-12 07:40:44,988 INFO    MainThread:443 [wandb_run.py:_on_init():2353] got version response upgrade_message: "wandb version 0.16.6 is available!  To upgrade, please run:\n $ pip install wandb --upgrade"
 
-2024-04-12 07:35:56,403 INFO    MainThread:289 [wandb_init.py:init():805] starting run threads in backend
-2024-04-12 07:36:12,510 INFO    MainThread:289 [wandb_run.py:_console_start():2323] atexit reg
-2024-04-12 07:36:12,510 INFO    MainThread:289 [wandb_run.py:_redirect():2178] redirect: wrap_raw
-2024-04-12 07:36:12,511 INFO    MainThread:289 [wandb_run.py:_redirect():2243] Wrapping output streams.
-2024-04-12 07:36:12,511 INFO    MainThread:289 [wandb_run.py:_redirect():2268] Redirects installed.
-2024-04-12 07:36:12,512 INFO    MainThread:289 [wandb_init.py:init():848] run started, returning control to user process
-2024-04-12 07:36:12,518 INFO    MainThread:289 [wandb_run.py:_config_callback():1347] config_cb None None {'vocab_size': 250880, 'hidden_size': 1536, 'n_layer': 24, 'n_head': 16, 'layer_norm_epsilon': 1e-05, 'initializer_range': 0.02, 'use_cache': False, 'pretraining_tp': 1, 'apply_residual_connection_post_layernorm': False, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'bos_token_id': 1, 'eos_token_id': 2, 'slow_but_exact': False, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'bfloat16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['BloomForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'pad_token_id': 3, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'bigscience/bloomz-1b1', 'transformers_version': '4.39.3', 'attention_softmax_in_fp32': True, 'bias_dropout_fusion': True, 'unk_token_id': 0, 'masked_softmax_fusion': True, 'model_type': 'bloom', 'n_inner': None, 'offset_alibi': 100, 'seq_length': 2048, 'skip_bias_add': True, 'skip_bias_add_qkv': False, 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'float16', 'bnb_4bit_quant_storage': 'uint8', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'evaluation_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 3e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.3, 'num_train_epochs': 5, 'max_steps': 20000, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.03, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr12_07-35-52_e5a48bec8248', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 20, 'save_total_limit': 1, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': 'Femboyuwu2000/bloomz-1b1-vn-chat', 'hub_strategy': 'checkpoint', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None}
+2024-04-12 07:40:44,988 INFO    MainThread:443 [wandb_init.py:init():805] starting run threads in backend
+2024-04-12 07:41:01,035 INFO    MainThread:443 [wandb_run.py:_console_start():2323] atexit reg
+2024-04-12 07:41:01,035 INFO    MainThread:443 [wandb_run.py:_redirect():2178] redirect: wrap_raw
+2024-04-12 07:41:01,036 INFO    MainThread:443 [wandb_run.py:_redirect():2243] Wrapping output streams.
+2024-04-12 07:41:01,036 INFO    MainThread:443 [wandb_run.py:_redirect():2268] Redirects installed.
+2024-04-12 07:41:01,037 INFO    MainThread:443 [wandb_init.py:init():848] run started, returning control to user process
+2024-04-12 07:41:01,044 INFO    MainThread:443 [wandb_run.py:_config_callback():1347] config_cb None None {'vocab_size': 250880, 'hidden_size': 1536, 'n_layer': 24, 'n_head': 16, 'layer_norm_epsilon': 1e-05, 'initializer_range': 0.02, 'use_cache': False, 'pretraining_tp': 1, 'apply_residual_connection_post_layernorm': False, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'bos_token_id': 1, 'eos_token_id': 2, 'slow_but_exact': False, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'bfloat16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['BloomForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'pad_token_id': 3, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'bigscience/bloomz-1b1', 'transformers_version': '4.39.3', 'attention_softmax_in_fp32': True, 'bias_dropout_fusion': True, 'unk_token_id': 0, 'masked_softmax_fusion': True, 'model_type': 'bloom', 'n_inner': None, 'offset_alibi': 100, 'seq_length': 2048, 'skip_bias_add': True, 'skip_bias_add_qkv': False, 'quantization_config': {'quant_method': 'QuantizationMethod.BITS_AND_BYTES', '_load_in_8bit': False, '_load_in_4bit': True, 'llm_int8_threshold': 6.0, 'llm_int8_skip_modules': None, 'llm_int8_enable_fp32_cpu_offload': False, 'llm_int8_has_fp16_weight': False, 'bnb_4bit_quant_type': 'nf4', 'bnb_4bit_use_double_quant': True, 'bnb_4bit_compute_dtype': 'float16', 'bnb_4bit_quant_storage': 'uint8', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'evaluation_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 8, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 3e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.3, 'num_train_epochs': 5, 'max_steps': 20000, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.03, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr12_07-40-41_e5a48bec8248', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 20, 'save_total_limit': 1, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': 'Femboyuwu2000/bloomz-1b1-vn-chat', 'hub_strategy': 'checkpoint', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': True, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None}

wandb/run-20240412_073555-bw7oy9ix/files/output.log

@@ -35,3 +35,42 @@
 /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
   warnings.warn(
 /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+trainable params: 2,019,328 || all params: 1,067,333,632 || trainable%: 0.18919370096266205
+PeftModelForCausalLM(
+  (base_model): LoraModel(
+    (model): BloomForCausalLM(
+      (transformer): BloomModel(
+        (word_embeddings): lora.Embedding(
+          (base_layer): Embedding(250880, 1536)
+          (lora_dropout): ModuleDict(
+            (default): Dropout(p=0.01, inplace=False)
+          )
+          (lora_A): ModuleDict()
+          (lora_B): ModuleDict()
+          (lora_embedding_A): ParameterDict(  (default): Parameter containing: [torch.cuda.FloatTensor of size 8x250880 (cuda:0)])
+          (lora_embedding_B): ParameterDict(  (default): Parameter containing: [torch.cuda.FloatTensor of size 1536x8 (cuda:0)])
+        )
+        (word_embeddings_layernorm): LayerNorm((1536,), eps=1e-05, elementwise_affine=True)
+        (h): ModuleList(
+          (0-23): 24 x BloomBlock(
+            (input_layernorm): LayerNorm((1536,), eps=1e-05, elementwise_affine=True)
+            (self_attention): BloomAttention(
+              (query_key_value): Linear4bit(in_features=1536, out_features=4608, bias=True)
+              (dense): Linear4bit(in_features=1536, out_features=1536, bias=True)
+              (attention_dropout): Dropout(p=0.0, inplace=False)
+            )
+            (post_attention_layernorm): LayerNorm((1536,), eps=1e-05, elementwise_affine=True)
+            (mlp): BloomMLP(
+              (dense_h_to_4h): Linear4bit(in_features=1536, out_features=6144, bias=True)
+              (gelu_impl): BloomGelu()
+              (dense_4h_to_h): Linear4bit(in_features=6144, out_features=1536, bias=True)
+            )
+          )
+        )
+        (ln_f): LayerNorm((1536,), eps=1e-05, elementwise_affine=True)
+      )
+      (lm_head): Linear(in_features=1536, out_features=250880, bias=False)
+    )
+  )
+)

wandb/run-20240412_073555-bw7oy9ix/files/wandb-summary.json

@@ -1 +1 @@
-{"train/loss": 4.3795, "train/grad_norm": 78.24981689453125, "train/learning_rate": 1.8e-05, "train/epoch": 0.01, "train/global_step": 360, "_timestamp": 1712907495.3015952, "_runtime": 139.55270910263062, "_step": 17}
+{"train/loss": 4.3795, "train/grad_norm": 78.24981689453125, "train/learning_rate": 1.8e-05, "train/epoch": 0.01, "train/global_step": 360, "_timestamp": 1712907495.3015952, "_runtime": 139.55270910263062, "_step": 17, "_wandb": {"runtime": 146}}

wandb/run-20240412_073555-bw7oy9ix/logs/debug-internal.log

@@ -228,3 +228,203 @@ subprocess.TimeoutExpired: Command '['conda', 'env', 'export']' timed out after
 2024-04-12 07:38:15,363 INFO    Thread-12 :334 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/wandb-summary.json
 2024-04-12 07:38:16,980 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
 2024-04-12 07:38:17,364 INFO    Thread-12 :334 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/output.log
+2024-04-12 07:38:18,991 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: pause
+2024-04-12 07:38:18,991 INFO    HandlerThread:334 [handler.py:handle_request_pause():708] stopping system metrics thread
+2024-04-12 07:38:18,991 INFO    HandlerThread:334 [system_monitor.py:finish():203] Stopping system monitor
+2024-04-12 07:38:18,991 DEBUG   SystemMonitor:334 [system_monitor.py:_start():179] Finished system metrics aggregation loop
+2024-04-12 07:38:18,991 DEBUG   SystemMonitor:334 [system_monitor.py:_start():183] Publishing last batch of metrics
+2024-04-12 07:38:18,993 INFO    HandlerThread:334 [interfaces.py:finish():202] Joined cpu monitor
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+2024-04-12 07:39:06,814 INFO    SystemMonitor:334 [system_monitor.py:_start():158] Starting system asset monitoring threads
+2024-04-12 07:39:06,815 INFO    SystemMonitor:334 [interfaces.py:start():190] Started cpu monitoring
+2024-04-12 07:39:06,815 INFO    SystemMonitor:334 [interfaces.py:start():190] Started disk monitoring
+2024-04-12 07:39:06,818 INFO    SystemMonitor:334 [interfaces.py:start():190] Started gpu monitoring
+2024-04-12 07:39:06,818 INFO    SystemMonitor:334 [interfaces.py:start():190] Started memory monitoring
+2024-04-12 07:39:06,819 INFO    SystemMonitor:334 [interfaces.py:start():190] Started network monitoring
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+2024-04-12 07:39:10,271 DEBUG   SystemMonitor:334 [system_monitor.py:_start():172] Starting system metrics aggregation loop
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+2024-04-12 07:39:10,272 DEBUG   SystemMonitor:334 [system_monitor.py:_start():183] Publishing last batch of metrics
+2024-04-12 07:39:10,275 INFO    HandlerThread:334 [interfaces.py:finish():202] Joined cpu monitor
+2024-04-12 07:39:10,276 INFO    HandlerThread:334 [interfaces.py:finish():202] Joined disk monitor
+2024-04-12 07:39:10,283 INFO    HandlerThread:334 [interfaces.py:finish():202] Joined gpu monitor
+2024-04-12 07:39:10,283 INFO    HandlerThread:334 [interfaces.py:finish():202] Joined memory monitor
+2024-04-12 07:39:10,283 INFO    HandlerThread:334 [interfaces.py:finish():202] Joined network monitor
+2024-04-12 07:39:10,284 DEBUG   SenderThread:334 [sender.py:send():379] send: stats
+2024-04-12 07:39:12,386 INFO    Thread-12 :334 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/output.log
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+2024-04-12 07:39:19,549 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:39:24,550 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:39:27,514 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: stop_status
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+2024-04-12 07:39:27,514 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: stop_status
+2024-04-12 07:39:29,632 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:39:34,633 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:39:39,634 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:39:42,514 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: stop_status
+2024-04-12 07:39:42,514 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: internal_messages
+2024-04-12 07:39:42,515 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: stop_status
+2024-04-12 07:39:45,598 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:39:50,599 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:39:55,601 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:39:57,514 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: stop_status
+2024-04-12 07:39:57,515 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: internal_messages
+2024-04-12 07:39:57,515 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: stop_status
+2024-04-12 07:40:00,633 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:40:02,812 DEBUG   SenderThread:334 [sender.py:send():379] send: exit
+2024-04-12 07:40:02,812 INFO    SenderThread:334 [sender.py:send_exit():586] handling exit code: 0
+2024-04-12 07:40:02,812 INFO    SenderThread:334 [sender.py:send_exit():588] handling runtime: 146
+2024-04-12 07:40:02,814 INFO    SenderThread:334 [sender.py:_save_file():1390] saving file wandb-summary.json with policy end
+2024-04-12 07:40:02,815 INFO    SenderThread:334 [sender.py:send_exit():594] send defer
+2024-04-12 07:40:02,815 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:02,815 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 0
+2024-04-12 07:40:02,815 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:02,816 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 0
+2024-04-12 07:40:02,816 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 1
+2024-04-12 07:40:02,816 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:02,816 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 1
+2024-04-12 07:40:02,816 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:02,816 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 1
+2024-04-12 07:40:02,816 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 2
+2024-04-12 07:40:02,816 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:02,816 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 2
+2024-04-12 07:40:02,817 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:02,817 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 2
+2024-04-12 07:40:02,817 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 3
+2024-04-12 07:40:02,817 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:02,817 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 3
+2024-04-12 07:40:02,817 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:02,817 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 3
+2024-04-12 07:40:02,817 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 4
+2024-04-12 07:40:02,817 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:02,817 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 4
+2024-04-12 07:40:02,818 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:02,818 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 4
+2024-04-12 07:40:02,818 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 5
+2024-04-12 07:40:02,818 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:02,818 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 5
+2024-04-12 07:40:02,818 DEBUG   SenderThread:334 [sender.py:send():379] send: summary
+2024-04-12 07:40:02,819 INFO    SenderThread:334 [sender.py:_save_file():1390] saving file wandb-summary.json with policy end
+2024-04-12 07:40:02,819 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:02,819 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 5
+2024-04-12 07:40:02,819 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 6
+2024-04-12 07:40:02,819 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:02,819 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 6
+2024-04-12 07:40:02,819 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:02,819 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 6
+2024-04-12 07:40:02,819 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 7
+2024-04-12 07:40:02,820 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: status_report
+2024-04-12 07:40:02,820 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:02,820 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 7
+2024-04-12 07:40:02,820 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:02,820 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 7
+2024-04-12 07:40:03,407 INFO    Thread-12 :334 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/wandb-summary.json
+2024-04-12 07:40:03,812 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: poll_exit
+2024-04-12 07:40:04,329 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 8
+2024-04-12 07:40:04,329 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: poll_exit
+2024-04-12 07:40:04,330 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:04,330 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 8
+2024-04-12 07:40:04,330 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:04,330 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 8
+2024-04-12 07:40:04,330 INFO    SenderThread:334 [job_builder.py:build():318] Attempting to build job artifact
+2024-04-12 07:40:04,332 INFO    SenderThread:334 [job_builder.py:_get_source_type():466] no source found
+2024-04-12 07:40:04,333 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 9
+2024-04-12 07:40:04,333 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:04,333 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 9
+2024-04-12 07:40:04,333 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:04,333 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 9
+2024-04-12 07:40:04,333 INFO    SenderThread:334 [dir_watcher.py:finish():358] shutting down directory watcher
+2024-04-12 07:40:04,407 INFO    Thread-12 :334 [dir_watcher.py:_on_file_modified():288] file/dir modified: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/output.log
+2024-04-12 07:40:04,408 INFO    SenderThread:334 [dir_watcher.py:finish():388] scan: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files
+2024-04-12 07:40:04,408 INFO    SenderThread:334 [dir_watcher.py:finish():402] scan save: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/conda-environment.yaml conda-environment.yaml
+2024-04-12 07:40:04,408 INFO    SenderThread:334 [dir_watcher.py:finish():402] scan save: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/requirements.txt requirements.txt
+2024-04-12 07:40:04,408 INFO    SenderThread:334 [dir_watcher.py:finish():402] scan save: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/output.log output.log
+2024-04-12 07:40:04,412 INFO    SenderThread:334 [dir_watcher.py:finish():402] scan save: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/wandb-summary.json wandb-summary.json
+2024-04-12 07:40:04,412 INFO    SenderThread:334 [dir_watcher.py:finish():402] scan save: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/config.yaml config.yaml
+2024-04-12 07:40:04,415 INFO    SenderThread:334 [dir_watcher.py:finish():402] scan save: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/wandb-metadata.json wandb-metadata.json
+2024-04-12 07:40:04,415 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 10
+2024-04-12 07:40:04,419 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:04,422 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 10
+2024-04-12 07:40:04,422 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:04,422 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 10
+2024-04-12 07:40:04,422 INFO    SenderThread:334 [file_pusher.py:finish():172] shutting down file pusher
+2024-04-12 07:40:04,598 INFO    wandb-upload_0:334 [upload_job.py:push():131] Uploaded file /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/requirements.txt
+2024-04-12 07:40:04,625 INFO    wandb-upload_3:334 [upload_job.py:push():131] Uploaded file /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/config.yaml
+2024-04-12 07:40:04,641 INFO    wandb-upload_1:334 [upload_job.py:push():131] Uploaded file /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/output.log
+2024-04-12 07:40:04,674 INFO    wandb-upload_2:334 [upload_job.py:push():131] Uploaded file /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/files/wandb-summary.json
+2024-04-12 07:40:04,814 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: poll_exit
+2024-04-12 07:40:04,814 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: poll_exit
+2024-04-12 07:40:04,875 INFO    Thread-11 (_thread_body):334 [sender.py:transition_state():614] send defer: 11
+2024-04-12 07:40:04,875 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:04,875 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 11
+2024-04-12 07:40:04,875 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:04,876 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 11
+2024-04-12 07:40:04,876 INFO    SenderThread:334 [file_pusher.py:join():178] waiting for file pusher
+2024-04-12 07:40:04,876 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 12
+2024-04-12 07:40:04,876 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:04,876 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 12
+2024-04-12 07:40:04,876 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:04,877 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 12
+2024-04-12 07:40:04,877 INFO    SenderThread:334 [file_stream.py:finish():614] file stream finish called
+2024-04-12 07:40:04,936 INFO    SenderThread:334 [file_stream.py:finish():618] file stream finish is done
+2024-04-12 07:40:04,936 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 13
+2024-04-12 07:40:04,936 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:04,936 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 13
+2024-04-12 07:40:04,937 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:04,937 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 13
+2024-04-12 07:40:04,937 INFO    SenderThread:334 [sender.py:transition_state():614] send defer: 14
+2024-04-12 07:40:04,937 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: defer
+2024-04-12 07:40:04,937 INFO    HandlerThread:334 [handler.py:handle_request_defer():172] handle defer: 14
+2024-04-12 07:40:04,938 DEBUG   SenderThread:334 [sender.py:send():379] send: final
+2024-04-12 07:40:04,938 DEBUG   SenderThread:334 [sender.py:send():379] send: footer
+2024-04-12 07:40:04,938 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: defer
+2024-04-12 07:40:04,938 INFO    SenderThread:334 [sender.py:send_request_defer():610] handle sender defer: 14
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+2024-04-12 07:40:04,939 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: poll_exit
+2024-04-12 07:40:04,940 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: poll_exit
+2024-04-12 07:40:04,940 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: poll_exit
+2024-04-12 07:40:04,940 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: server_info
+2024-04-12 07:40:04,941 DEBUG   SenderThread:334 [sender.py:send_request():406] send_request: server_info
+2024-04-12 07:40:04,944 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: get_summary
+2024-04-12 07:40:04,944 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: sampled_history
+2024-04-12 07:40:04,945 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: internal_messages
+2024-04-12 07:40:04,960 INFO    MainThread:334 [wandb_run.py:_footer_history_summary_info():3920] rendering history
+2024-04-12 07:40:04,961 INFO    MainThread:334 [wandb_run.py:_footer_history_summary_info():3952] rendering summary
+2024-04-12 07:40:04,961 INFO    MainThread:334 [wandb_run.py:_footer_sync_info():3879] logging synced files
+2024-04-12 07:40:04,962 DEBUG   HandlerThread:334 [handler.py:handle_request():146] handle_request: shutdown
+2024-04-12 07:40:04,962 INFO    HandlerThread:334 [handler.py:finish():866] shutting down handler
+2024-04-12 07:40:05,941 INFO    WriterThread:334 [datastore.py:close():296] close: /kaggle/working/wandb/run-20240412_073555-bw7oy9ix/run-bw7oy9ix.wandb
+2024-04-12 07:40:05,960 INFO    SenderThread:334 [sender.py:finish():1546] shutting down sender
+2024-04-12 07:40:05,960 INFO    SenderThread:334 [file_pusher.py:finish():172] shutting down file pusher
+2024-04-12 07:40:05,960 INFO    SenderThread:334 [file_pusher.py:join():178] waiting for file pusher

wandb/run-20240412_073555-bw7oy9ix/logs/debug.log

@@ -29,3 +29,8 @@ config: {}
 2024-04-12 07:36:12,511 INFO    MainThread:289 [wandb_run.py:_redirect():2268] Redirects installed.
 2024-04-12 07:36:12,512 INFO    MainThread:289 [wandb_init.py:init():848] run started, returning control to user process
 2024-04-12 07:36:12,518 INFO    MainThread:289 [wandb_run.py:_config_callback():1347] config_cb None None {'vocab_size': 250880, 'hidden_size': 1536, 'n_layer': 24, 'n_head': 16, 'layer_norm_epsilon': 1e-05, 'initializer_range': 0.02, 'use_cache': False, 'pretraining_tp': 1, 'apply_residual_connection_post_layernorm': False, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'bos_token_id': 1, 'eos_token_id': 2, 'slow_but_exact': False, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'bfloat16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 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wandb/run-20240412_074044-widovcn3/files/config.yaml

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+include_tokens_per_second:
+  desc: null
+  value: false
+include_num_input_tokens_seen:
+  desc: null
+  value: false
+neftune_noise_alpha:
+  desc: null
+  value: null
+optim_target_modules:
+  desc: null
+  value: null

wandb/run-20240412_074044-widovcn3/files/output.log

@@ -0,0 +1,3 @@
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.

wandb/run-20240412_074044-widovcn3/files/requirements.txt

@@ -0,0 +1,864 @@
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+Boruta==0.3
+Brotli==1.0.9
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+Deprecated==1.2.14
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+Flask==3.0.2
+Geohash==1.0
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+ImageHash==4.3.1
+Janome==0.5.0
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+LunarCalendar==0.0.9
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+Markdown==3.5.2
+MarkupSafe==2.1.3
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