Training in progress, step 10
Browse files- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- runs/Mar08_12-58-50_4997a2709b0f/events.out.tfevents.1709902731.4997a2709b0f.941.1 +3 -0
- runs/Mar08_13-01-52_4997a2709b0f/events.out.tfevents.1709902913.4997a2709b0f.24536.0 +3 -0
- tokenizer.json +1 -6
- training_args.bin +1 -1
- wandb/debug-cli.root.log +0 -0
- wandb/debug-internal.log +111 -554
- wandb/debug.log +29 -36
- wandb/run-20240308_121134-5y42ufcl/files/config.yaml +3 -3
- wandb/run-20240308_121134-5y42ufcl/files/output.log +31 -0
- wandb/run-20240308_121134-5y42ufcl/files/wandb-summary.json +1 -1
- wandb/run-20240308_121134-5y42ufcl/logs/debug-internal.log +0 -0
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- wandb/run-20240308_121134-5y42ufcl/run-5y42ufcl.wandb +0 -0
- wandb/run-20240308_130200-qomx2zsg/files/config.yaml +689 -0
- wandb/run-20240308_130200-qomx2zsg/files/output.log +1 -0
- wandb/run-20240308_130200-qomx2zsg/files/requirements.txt +499 -0
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- wandb/run-20240308_130200-qomx2zsg/files/wandb-summary.json +1 -0
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- wandb/run-20240308_130200-qomx2zsg/run-qomx2zsg.wandb +0 -0
adapter_config.json
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"target_modules": [
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adapter_model.safetensors
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runs/Mar08_12-58-50_4997a2709b0f/events.out.tfevents.1709902731.4997a2709b0f.941.1
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tokenizer.json
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training_args.bin
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wandb/debug-cli.root.log
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wandb/debug-internal.log
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2024-03-08 12:22:52,163 INFO SenderThread:10843 [sender.py:_save_file():1365] saving file wandb-summary.json with policy end
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2024-03-08 12:24:46,879 INFO Thread-12 :10843 [dir_watcher.py:_on_file_modified():288] file/dir modified: /content/wandb/run-20240308_121134-5y42ufcl/files/wandb-summary.json
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2024-03-08 12:25:26,706 INFO HandlerThread:10843 [handler.py:handle_request_pause():708] stopping system metrics thread
|
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2024-03-08 12:25:26,706 INFO HandlerThread:10843 [system_monitor.py:finish():203] Stopping system monitor
|
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-
2024-03-08 12:25:26,707 INFO HandlerThread:10843 [interfaces.py:finish():202] Joined cpu monitor
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-
2024-03-08 12:25:26,707 DEBUG SystemMonitor:10843 [system_monitor.py:_start():179] Finished system metrics aggregation loop
|
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2024-03-08 12:25:26,708 DEBUG SystemMonitor:10843 [system_monitor.py:_start():183] Publishing last batch of metrics
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|
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2024-03-08 12:25:42,794 DEBUG HandlerThread:10843 [handler.py:handle_request():146] handle_request: resume
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2024-03-08 12:25:42,794 INFO HandlerThread:10843 [handler.py:handle_request_resume():699] starting system metrics thread
|
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2024-03-08 12:25:42,794 INFO HandlerThread:10843 [system_monitor.py:start():194] Starting system monitor
|
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2024-03-08 12:25:42,794 INFO SystemMonitor:10843 [system_monitor.py:_start():158] Starting system asset monitoring threads
|
458 |
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2024-03-08 12:25:42,794 INFO SystemMonitor:10843 [interfaces.py:start():190] Started cpu monitoring
|
459 |
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2024-03-08 12:25:42,795 INFO SystemMonitor:10843 [interfaces.py:start():190] Started disk monitoring
|
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|
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2024-03-08 12:25:42,797 INFO SystemMonitor:10843 [interfaces.py:start():190] Started network monitoring
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2024-03-08 12:25:42,835 DEBUG SystemMonitor:10843 [system_monitor.py:_start():172] Starting system metrics aggregation loop
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|
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2024-03-08 12:25:42,835 DEBUG SystemMonitor:10843 [system_monitor.py:_start():183] Publishing last batch of metrics
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2024-03-08 13:03:48,371 INFO Thread-12 :25394 [dir_watcher.py:_on_file_created():271] file/dir created: /content/wandb/run-20240308_130200-qomx2zsg/files/output.log
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wandb/debug.log
CHANGED
@@ -1,37 +1,30 @@
|
|
1 |
-
2024-03-08
|
2 |
-
2024-03-08
|
3 |
-
2024-03-08
|
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|
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|
11 |
-
2024-03-08
|
12 |
-
2024-03-08
|
13 |
-
2024-03-08 12:11:34,057 INFO MainThread:941 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
14 |
config: {}
|
15 |
-
2024-03-08
|
16 |
-
2024-03-08
|
17 |
-
2024-03-08
|
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-
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|
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-
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|
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-
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|
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-
2024-03-08
|
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-
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|
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-
2024-03-08
|
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-
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|
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-
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|
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-
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|
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-
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|
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-
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|
29 |
-
2024-03-08
|
30 |
-
2024-03-08
|
31 |
-
2024-03-08
|
32 |
-
2024-03-08 12:25:26,705 INFO MainThread:941 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
33 |
-
2024-03-08 12:25:26,705 INFO MainThread:941 [wandb_init.py:_pause_backend():437] pausing backend
|
34 |
-
2024-03-08 12:25:42,793 INFO MainThread:941 [wandb_init.py:_resume_backend():442] resuming backend
|
35 |
-
2024-03-08 12:25:42,797 INFO MainThread:941 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
36 |
-
2024-03-08 12:25:42,797 INFO MainThread:941 [wandb_init.py:_pause_backend():437] pausing backend
|
37 |
-
2024-03-08 12:28:20,368 INFO MainThread:941 [wandb_init.py:_resume_backend():442] resuming backend
|
|
|
1 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Current SDK version is 0.16.4
|
2 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Configure stats pid to 24536
|
3 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
|
4 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Loading settings from /content/wandb/settings
|
5 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
6 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
7 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
8 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_init.py:_log_setup():526] Logging user logs to /content/wandb/run-20240308_130200-qomx2zsg/logs/debug.log
|
9 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_init.py:_log_setup():527] Logging internal logs to /content/wandb/run-20240308_130200-qomx2zsg/logs/debug-internal.log
|
10 |
+
2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7a424cd9a800>
|
11 |
+
2024-03-08 13:02:00,783 INFO MainThread:24536 [wandb_init.py:init():566] calling init triggers
|
12 |
+
2024-03-08 13:02:00,783 INFO MainThread:24536 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
|
|
13 |
config: {}
|
14 |
+
2024-03-08 13:02:00,783 INFO MainThread:24536 [wandb_init.py:init():616] starting backend
|
15 |
+
2024-03-08 13:02:00,783 INFO MainThread:24536 [wandb_init.py:init():620] setting up manager
|
16 |
+
2024-03-08 13:02:00,785 INFO MainThread:24536 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
17 |
+
2024-03-08 13:02:00,786 INFO MainThread:24536 [wandb_init.py:init():628] backend started and connected
|
18 |
+
2024-03-08 13:02:00,798 INFO MainThread:24536 [wandb_run.py:_label_probe_notebook():1295] probe notebook
|
19 |
+
2024-03-08 13:02:05,815 INFO MainThread:24536 [wandb_run.py:_label_probe_notebook():1305] Unable to probe notebook: 'NoneType' object has no attribute 'get'
|
20 |
+
2024-03-08 13:02:05,815 INFO MainThread:24536 [wandb_init.py:init():720] updated telemetry
|
21 |
+
2024-03-08 13:02:05,819 INFO MainThread:24536 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
|
22 |
+
2024-03-08 13:02:06,338 INFO MainThread:24536 [wandb_run.py:_on_init():2262] communicating current version
|
23 |
+
2024-03-08 13:02:06,561 INFO MainThread:24536 [wandb_run.py:_on_init():2271] got version response
|
24 |
+
2024-03-08 13:02:06,561 INFO MainThread:24536 [wandb_init.py:init():804] starting run threads in backend
|
25 |
+
2024-03-08 13:02:07,429 INFO MainThread:24536 [wandb_run.py:_console_start():2241] atexit reg
|
26 |
+
2024-03-08 13:02:07,429 INFO MainThread:24536 [wandb_run.py:_redirect():2096] redirect: wrap_raw
|
27 |
+
2024-03-08 13:02:07,429 INFO MainThread:24536 [wandb_run.py:_redirect():2161] Wrapping output streams.
|
28 |
+
2024-03-08 13:02:07,429 INFO MainThread:24536 [wandb_run.py:_redirect():2186] Redirects installed.
|
29 |
+
2024-03-08 13:02:07,430 INFO MainThread:24536 [wandb_init.py:init():847] run started, returning control to user process
|
30 |
+
2024-03-08 13:02:07,434 INFO MainThread:24536 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 65024, 'hidden_size': 4544, 'num_hidden_layers': 32, 'num_attention_heads': 71, 'layer_norm_epsilon': 1e-05, 'initializer_range': 0.02, 'use_cache': False, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'bos_token_id': 11, 'eos_token_id': 11, 'num_kv_heads': 71, 'alibi': False, 'new_decoder_architecture': False, 'multi_query': True, 'parallel_attn': True, 'bias': 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': ['FalconForCausalLM'], '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': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'vilsonrodrigues/falcon-7b-instruct-sharded', 'transformers_version': '4.38.2', 'apply_residual_connection_post_layernorm': False, 'auto_map': {'AutoConfig': 'vilsonrodrigues/falcon-7b-instruct-sharded--configuration_falcon.FalconConfig', 'AutoModel': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconModel', 'AutoModelForSequenceClassification': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconForSequenceClassification', 'AutoModelForTokenClassification': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconForTokenClassification', 'AutoModelForQuestionAnswering': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconForQuestionAnswering', 'AutoModelForCausalLM': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconForCausalLM'}, 'model_type': 'falcon', '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', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_dir': './', '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': 4, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 4, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 0.0001, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.3, 'num_train_epochs': 3.0, 'max_steps': 30, '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': './runs/Mar08_13-01-52_4997a2709b0f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 10, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': None, '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': True, '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': './', '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_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': True, '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': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, '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}
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|
wandb/run-20240308_121134-5y42ufcl/files/config.yaml
CHANGED
@@ -361,7 +361,7 @@ eval_delay:
|
|
361 |
value: 0
|
362 |
learning_rate:
|
363 |
desc: null
|
364 |
-
value: 0.
|
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weight_decay:
|
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desc: null
|
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value: 0.0
|
@@ -382,7 +382,7 @@ num_train_epochs:
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value: 3.0
|
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max_steps:
|
384 |
desc: null
|
385 |
-
value:
|
386 |
lr_scheduler_type:
|
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desc: null
|
388 |
value: cosine
|
@@ -406,7 +406,7 @@ log_on_each_node:
|
|
406 |
value: true
|
407 |
logging_dir:
|
408 |
desc: null
|
409 |
-
value: ./runs/Mar08_12-
|
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logging_strategy:
|
411 |
desc: null
|
412 |
value: steps
|
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|
361 |
value: 0
|
362 |
learning_rate:
|
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desc: null
|
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+
value: 0.0001
|
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weight_decay:
|
366 |
desc: null
|
367 |
value: 0.0
|
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|
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value: 3.0
|
383 |
max_steps:
|
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desc: null
|
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+
value: 30
|
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lr_scheduler_type:
|
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desc: null
|
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value: cosine
|
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|
406 |
value: true
|
407 |
logging_dir:
|
408 |
desc: null
|
409 |
+
value: ./runs/Mar08_12-58-50_4997a2709b0f
|
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logging_strategy:
|
411 |
desc: null
|
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value: steps
|
wandb/run-20240308_121134-5y42ufcl/files/output.log
ADDED
@@ -0,0 +1,31 @@
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|
1 |
+
|
2 |
+
*******************************************************
|
3 |
+
Response from fine-tuned falcon_7b_instruct_sharded:
|
4 |
+
### Instruction: You are a helpful assistant tasked with translating instructions from humans into precise drone commands for execution. Your responses must start with the takeoff command `to()` to initiate the drone's flight and conclude with the landing command `l()` to safely end the flight. Utilize the drone command functions (mf(len), mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the capabilities to perform that task.'.
|
5 |
+
### Human: Can you draw one hexagon in the air of 10 meters length? ### Assistant:
|
6 |
+
You are ahelpful assistant tasked with translating human requests into exact drone commands for execution. Your replies must commence with the takeoff command `to()` to initiated the drone's flight and concluded with the landing command `l()` to safely end the flight. Utilize the drone command functions (mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the necessary dronespecific commands to execute your request
|
7 |
+
*******************************************************
|
8 |
+
Response from fine-tuned falcon_7b_instruct_sharded:
|
9 |
+
### Instruction: You are a helpful assistant tasked with translating instructions from humans into precise drone commands for execution. Your responses must start with the takeoff command `to()` to initiate the drone's flight and conclude with the landing command `l()` to safely end the flight. Utilize the drone command functions (mf(len), mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the capabilities to perform that task.'.
|
10 |
+
### Human: Can you draw one hexagon in the air of 10 meters length?
|
11 |
+
### Assistant:
|
12 |
+
You are ahelpful assistant tasked with translating human requests into exact drone commands for execution. Your replies must commence with the takeoff command `to()` to initiate the drone's flight and concluded with the landing command `l()` to Safely End the Flight. Utilize the drone command functions (mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, Reply, 'I'm sorry, but I don't have the necessary dronespecific commands to execute your
|
13 |
+
*******************************************************
|
14 |
+
Response from fine-tuned falcon_7b_instruct_sharded:
|
15 |
+
### Instruction: You are a helpful assistant tasked with translating instructions from humans into precise drone commands for execution. Your responses must start with the takeoff command `to()` to initiate the drone's flight and conclude with the landing command `l()` to safely end the flight. Utilize the drone command functions (mf(len), mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the capabilities to perform that task.'. ### Human: Can you draw one hexagon in the air of 10 meters length? ### Assistant:
|
16 |
+
You are ahelpful assistant tasked with translating human requests into exact drone commands for execution. Your replies must commence with the takeoff command `to()` to initiated the drone's flight and concluded with the landing command `l()` to safely end the flight. Utilize the drone command functions (mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the necessary dronespecific commands to execute your request
|
17 |
+
*******************************************************
|
18 |
+
Response from fine-tuned falcon_7b_instruct_sharded:
|
19 |
+
### Instruction: You are a helpful assistant tasked with translating instructions from humans into precise drone commands for execution. Your responses must start with the takeoff command `to()` to initiate the drone's flight and conclude with the landing command `l()` to safely end the flight. Utilize the drone command functions (mf(len), mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the capabilities to perform that task.'. ### Human: Can you draw one hexagon in the air of 10 meters length? ### Assistant:
|
20 |
+
You are ahelpful assistant tasked with translating human requests into exact drone commands for execution. Your replies must commence with the takeoff command `to()` to initiated the drone's flight and concluded with the landing command `l()` to safely end the flight. Utilize the drone command functions (mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the necessary dronespecific commands to execute your request. Please let me know if you would like me to translate a request into a corresponding drone command.").
|
21 |
+
You must respond with the requested translations as a response for the Humans'. Takeoffs must begin with the takeoff command `to()`, initiating the drone's flight. Responses must finish with the landing command `l()', ending the flight. Utilize the drone command functions (mf(len), mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)). If a request is not valid, reply, 'I'm
|
22 |
+
*******************************************************
|
23 |
+
Response from fine-tuned falcon_7b_instruct_sharded:
|
24 |
+
### Instruction: You are a helpful assistant tasked with translating instructions from humans into precise drone commands for execution. Your responses must start with the takeoff command `to()` to initiate the drone's flight and conclude with the landing command `l()` to safely end the flight. Utilize the drone command functions (mf(len), mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the capabilities to perform that task.'. ### Human: take off and hover for a moment before landing. ### Assistant:
|
25 |
+
you are ahelpful assistant tasked with translating requests from humans into exact drone commands for execution. Your replies must commence with the takeoff command `to()` to initiate the drone's flight and conclude with the landing command `l()` to safely end the flight. Utilize the drone command functions (mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the necessary dronespecific commands to execute your request. Please let me know if you would like me to translate a request into a corresponding drone command."). Takeoffs must begin with the takeoff command `to()`, which initiates the drone's flight and concludes with the landing command `l()', which ends the flight. Responses must finish with the landing command `l()'. If a request is not valid, reply, 'I'm sorry, but I don't have the capability to carry out any requests. Perhaps you could instruct me of a certain maneuver and I will assist you in executing it.'。
|
26 |
+
You are a helpful assistant tasked
|
27 |
+
*******************************************************
|
28 |
+
Response from fine-tuned falcon_7b_instruct_sharded:
|
29 |
+
### Instruction: You are a helpful assistant tasked with translating instructions from humans into precise drone commands for execution. Your responses must start with the takeoff command `to()` to initiate the drone's flight and conclude with the landing command `l()` to safely end the flight. Utilize the drone command functions (mf(len), mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)) for specific maneuvers. If a request is not valid, reply, 'I'm sorry, but I don't have the capabilities to perform that task.'. ### Human: take off and hover for a moment before landing. ### Assistant: you must translate these requests into exact drone commands. Responses must begin with the takeoff command `to()` to commence the drone's flight and conclude with the landing command `l()` to Safely End the Flight. Utilize the drone command functions (mb(len), ml(len), mr(len), mu(len), md(len), tc(deg), tcc(deg)).If a request is not valid, Reply, 'I'm sorry, but I don't have the necessary dronespecific commands to execute your request. Please consult the drone command function translations on the TakeOff Drone Command Functions (#of) for specific actions. If a request is not valid, respond, 'I'm sorry, but I don't have the capability to carry out any requests. Perhaps you could instruct me of a response using the takeoff command `to()', if a request is requested. If a request is not valid, reply, 'I'm sorry, but I don't have the capacity to assist you in executing those tasks. Maybe you can ask one of the assistants stationed at the controls of the drone for assistance.'
|
30 |
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Takeoff: Initiate the drone's flight by calling
|
31 |
+
You are using an old version of the checkpointing format that is deprecated (We will also silently ignore `gradient_checkpointing_kwargs` in case you passed it).Please update to the new format on your modeling file. To use the new format, you need to completely remove the definition of the method `_set_gradient_checkpointing` in your model.
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wandb/run-20240308_121134-5y42ufcl/files/wandb-summary.json
CHANGED
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{"train/loss": 0.0, "train/grad_norm": 0.00014634178660344332, "train/learning_rate": 0.0001693204328025389, "train/epoch": 5.6, "train/global_step": 70, "_timestamp": 1709900686.0780377, "_runtime": 792.0174107551575, "_step": 6}
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{"train/loss": 0.0, "train/grad_norm": 0.00014634178660344332, "train/learning_rate": 0.0001693204328025389, "train/epoch": 5.6, "train/global_step": 70, "_timestamp": 1709900686.0780377, "_runtime": 792.0174107551575, "_step": 6, "_wandb": {"runtime": 1230}}
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wandb/run-20240308_121134-5y42ufcl/logs/debug-internal.log
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wandb/run-20240308_121134-5y42ufcl/logs/debug.log
CHANGED
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2024-03-08 12:58:51,034 INFO MainThread:941 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 65024, 'hidden_size': 4544, 'num_hidden_layers': 32, 'num_attention_heads': 71, 'layer_norm_epsilon': 1e-05, 'initializer_range': 0.02, 'use_cache': False, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'bos_token_id': 11, 'eos_token_id': 11, 'num_kv_heads': 71, 'alibi': False, 'new_decoder_architecture': False, 'multi_query': True, 'parallel_attn': True, 'bias': 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': ['FalconForCausalLM'], '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': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'vilsonrodrigues/falcon-7b-instruct-sharded', 'transformers_version': '4.38.2', 'apply_residual_connection_post_layernorm': False, 'auto_map': {'AutoConfig': 'vilsonrodrigues/falcon-7b-instruct-sharded--configuration_falcon.FalconConfig', 'AutoModel': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconModel', 'AutoModelForSequenceClassification': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconForSequenceClassification', 'AutoModelForTokenClassification': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconForTokenClassification', 'AutoModelForQuestionAnswering': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconForQuestionAnswering', 'AutoModelForCausalLM': 'vilsonrodrigues/falcon-7b-instruct-sharded--modeling_falcon.FalconForCausalLM'}, 'model_type': 'falcon', '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', 'load_in_4bit': True, 'load_in_8bit': False}, 'output_dir': './', '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': 4, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 4, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 0.0001, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 0.3, 'num_train_epochs': 3.0, 'max_steps': 30, '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': './runs/Mar08_12-58-50_4997a2709b0f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 10, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': None, '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': True, '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': './', '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_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': True, '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': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, '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}
|
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2024-03-08 12:58:52,225 INFO MainThread:941 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
127 |
+
2024-03-08 12:58:52,225 INFO MainThread:941 [wandb_init.py:_pause_backend():437] pausing backend
|
wandb/run-20240308_121134-5y42ufcl/run-5y42ufcl.wandb
CHANGED
Binary files a/wandb/run-20240308_121134-5y42ufcl/run-5y42ufcl.wandb and b/wandb/run-20240308_121134-5y42ufcl/run-5y42ufcl.wandb differ
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wandb/run-20240308_130200-qomx2zsg/files/config.yaml
ADDED
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1 |
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646 |
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torchdynamo:
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658 |
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ray_scope:
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661 |
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662 |
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663 |
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ddp_timeout:
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664 |
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665 |
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666 |
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torch_compile:
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667 |
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668 |
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669 |
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torch_compile_backend:
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670 |
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672 |
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torch_compile_mode:
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673 |
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674 |
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675 |
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dispatch_batches:
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676 |
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677 |
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678 |
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split_batches:
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679 |
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680 |
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681 |
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include_tokens_per_second:
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682 |
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683 |
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684 |
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include_num_input_tokens_seen:
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685 |
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686 |
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|
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neftune_noise_alpha:
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688 |
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|
689 |
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wandb/run-20240308_130200-qomx2zsg/files/output.log
ADDED
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wandb/run-20240308_130200-qomx2zsg/files/requirements.txt
ADDED
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1 |
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2 |
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3 |
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17 |
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26 |
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27 |
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28 |
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29 |
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34 |
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36 |
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37 |
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39 |
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40 |
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41 |
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42 |
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43 |
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45 |
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51 |
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52 |
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53 |
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55 |
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56 |
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58 |
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60 |
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61 |
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62 |
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63 |
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68 |
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69 |
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70 |
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71 |
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|
72 |
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73 |
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74 |
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|
75 |
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76 |
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77 |
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78 |
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79 |
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80 |
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84 |
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85 |
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86 |
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|
87 |
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|
88 |
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|
89 |
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|
90 |
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|
91 |
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|
92 |
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|
93 |
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debugpy==1.6.6
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94 |
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|
95 |
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|
96 |
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|
97 |
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|
98 |
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|
99 |
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|
100 |
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101 |
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docker-pycreds==0.4.0
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102 |
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103 |
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104 |
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|
105 |
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|
106 |
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|
107 |
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108 |
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109 |
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eerepr==0.0.4
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111 |
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|
112 |
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en-core-web-sm==3.7.1
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113 |
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114 |
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et-xmlfile==1.1.0
|
115 |
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etils==1.7.0
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116 |
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etuples==0.3.9
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117 |
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118 |
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119 |
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fastcore==1.5.29
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120 |
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fastdownload==0.0.7
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121 |
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fastjsonschema==2.19.1
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122 |
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fastprogress==1.0.3
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123 |
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fastrlock==0.8.2
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124 |
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filelock==3.13.1
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126 |
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firebase-admin==5.3.0
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127 |
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128 |
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flax==0.8.1
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129 |
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folium==0.14.0
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130 |
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132 |
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frozenlist==1.4.1
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133 |
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future==0.18.3
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135 |
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gast==0.5.4
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gdown==4.7.3
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140 |
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141 |
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142 |
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143 |
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144 |
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145 |
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148 |
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google-api-core==2.11.1
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149 |
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google-auth-httplib2==0.1.1
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151 |
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google-auth-oauthlib==1.2.0
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152 |
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google-auth==2.27.0
|
153 |
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google-cloud-aiplatform==1.43.0
|
154 |
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google-cloud-bigquery-connection==1.12.1
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155 |
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google-cloud-bigquery-storage==2.24.0
|
156 |
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google-cloud-bigquery==3.12.0
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157 |
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google-cloud-core==2.3.3
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google-cloud-datastore==2.15.2
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google-cloud-firestore==2.11.1
|
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google-cloud-functions==1.13.3
|
161 |
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google-cloud-iam==2.14.3
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162 |
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google-cloud-language==2.13.3
|
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google-cloud-resource-manager==1.12.3
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google-cloud-storage==2.8.0
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google-cloud-translate==3.11.3
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google-colab==1.0.0
|
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google-crc32c==1.5.0
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google-generativeai==0.3.2
|
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google-pasta==0.2.0
|
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google-resumable-media==2.7.0
|
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google==2.0.3
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googleapis-common-protos==1.62.0
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grpc-google-iam-v1==0.13.0
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h5netcdf==1.3.0
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|
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ibis-framework==7.1.0
|
194 |
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idna==3.6
|
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imageio-ffmpeg==0.4.9
|
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|
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|
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|
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|
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|
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|
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|
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|
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ipytree==0.2.2
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214 |
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|
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|
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jax==0.4.23
|
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|
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|
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|
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|
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|
222 |
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|
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|
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|
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|
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|
234 |
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|
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|
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|
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|
241 |
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|
242 |
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|
243 |
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|
244 |
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|
245 |
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|
246 |
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|
247 |
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|
248 |
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|
249 |
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markdown-it-py==3.0.0
|
250 |
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matplotlib-inline==0.1.6
|
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|
252 |
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|
253 |
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|
254 |
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mdurl==0.1.2
|
255 |
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|
256 |
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missingno==0.5.2
|
257 |
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|
258 |
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|
260 |
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|
261 |
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|
262 |
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|
263 |
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264 |
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265 |
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|
266 |
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|
267 |
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|
268 |
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|
269 |
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|
270 |
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|
271 |
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|
272 |
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|
273 |
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|
274 |
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275 |
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|
276 |
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277 |
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|
278 |
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279 |
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|
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|
281 |
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|
282 |
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|
283 |
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|
284 |
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|
285 |
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|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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|
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optax==0.1.9
|
294 |
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orbax-checkpoint==0.4.4
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295 |
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|
296 |
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|
297 |
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|
298 |
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300 |
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|
301 |
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|
302 |
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303 |
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|
304 |
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305 |
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|
306 |
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307 |
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308 |
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310 |
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|
311 |
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312 |
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313 |
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314 |
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315 |
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pip==23.1.2
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316 |
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317 |
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318 |
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319 |
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320 |
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|
322 |
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323 |
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324 |
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325 |
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326 |
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327 |
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329 |
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330 |
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331 |
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332 |
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333 |
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protobuf==3.20.3
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334 |
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psutil==5.9.5
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335 |
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psycopg2==2.9.9
|
336 |
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|
337 |
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py-cpuinfo==9.0.0
|
338 |
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|
339 |
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|
340 |
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341 |
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|
342 |
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|
343 |
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344 |
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|
345 |
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pycparser==2.21
|
346 |
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|
347 |
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pydantic_core==2.16.3
|
348 |
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pydata-google-auth==1.8.2
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350 |
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351 |
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352 |
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353 |
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pygame==2.5.2
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354 |
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355 |
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pymystem3==0.2.0
|
356 |
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pyparsing==3.1.1
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357 |
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pyperclip==1.8.2
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358 |
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pyproj==3.6.1
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359 |
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pyproject_hooks==1.0.0
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360 |
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pyshp==2.3.1
|
361 |
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pytensor==2.18.6
|
362 |
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pytest==7.4.4
|
363 |
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python-apt==0.0.0
|
364 |
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python-box==7.1.1
|
365 |
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python-dateutil==2.8.2
|
366 |
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python-louvain==0.16
|
367 |
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python-slugify==8.0.4
|
368 |
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python-utils==3.8.2
|
369 |
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pytz==2023.4
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370 |
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pyviz_comms==3.0.1
|
371 |
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pyzmq==23.2.1
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372 |
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qdldl==0.1.7.post0
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373 |
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qudida==0.0.4
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374 |
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ratelim==0.1.6
|
375 |
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referencing==0.33.0
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376 |
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regex==2023.12.25
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377 |
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requests-oauthlib==1.3.1
|
378 |
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requests==2.31.0
|
379 |
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requirements-parser==0.5.0
|
380 |
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rich==13.7.1
|
381 |
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rpds-py==0.18.0
|
382 |
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rpy2==3.4.2
|
383 |
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rsa==4.9
|
384 |
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safetensors==0.4.2
|
385 |
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scikit-image==0.19.3
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386 |
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scikit-learn==1.2.2
|
387 |
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scipy==1.11.4
|
388 |
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scooby==0.9.2
|
389 |
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scs==3.2.4.post1
|
390 |
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seaborn==0.13.1
|
391 |
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sentencepiece==0.1.99
|
392 |
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sentry-sdk==1.41.0
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393 |
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setproctitle==1.3.3
|
394 |
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setuptools==67.7.2
|
395 |
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shapely==2.0.3
|
396 |
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shtab==1.7.1
|
397 |
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six==1.16.0
|
398 |
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six==1.16.0
|
399 |
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sklearn-pandas==2.2.0
|
400 |
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smart-open==6.4.0
|
401 |
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smmap==5.0.1
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402 |
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sniffio==1.3.1
|
403 |
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snowballstemmer==2.2.0
|
404 |
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sortedcontainers==2.4.0
|
405 |
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soundfile==0.12.1
|
406 |
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soupsieve==2.5
|
407 |
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soxr==0.3.7
|
408 |
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spacy-legacy==3.0.12
|
409 |
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spacy-loggers==1.0.5
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410 |
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spacy==3.7.4
|
411 |
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sphinxcontrib-applehelp==1.0.8
|
412 |
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sphinxcontrib-devhelp==1.0.6
|
413 |
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sphinxcontrib-htmlhelp==2.0.5
|
414 |
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sphinxcontrib-jsmath==1.0.1
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415 |
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sphinxcontrib-qthelp==1.0.7
|
416 |
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sphinxcontrib-serializinghtml==1.1.10
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417 |
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sqlglot==19.9.0
|
418 |
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sqlparse==0.4.4
|
419 |
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srsly==2.4.8
|
420 |
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stanio==0.3.0
|
421 |
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statsmodels==0.14.1
|
422 |
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sympy==1.12
|
423 |
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tables==3.8.0
|
424 |
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tabulate==0.9.0
|
425 |
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tbb==2021.11.0
|
426 |
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tblib==3.0.0
|
427 |
+
tenacity==8.2.3
|
428 |
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tensorboard-data-server==0.7.2
|
429 |
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tensorboard==2.15.2
|
430 |
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tensorflow-datasets==4.9.4
|
431 |
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tensorflow-estimator==2.15.0
|
432 |
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tensorflow-gcs-config==2.15.0
|
433 |
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tensorflow-hub==0.16.1
|
434 |
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tensorflow-io-gcs-filesystem==0.36.0
|
435 |
+
tensorflow-metadata==1.14.0
|
436 |
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tensorflow-probability==0.23.0
|
437 |
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tensorflow==2.15.0
|
438 |
+
tensorstore==0.1.45
|
439 |
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termcolor==2.4.0
|
440 |
+
terminado==0.18.0
|
441 |
+
text-unidecode==1.3
|
442 |
+
textblob==0.17.1
|
443 |
+
tf-keras==2.15.0
|
444 |
+
tf-slim==1.1.0
|
445 |
+
thinc==8.2.3
|
446 |
+
threadpoolctl==3.3.0
|
447 |
+
tifffile==2024.2.12
|
448 |
+
tinycss2==1.2.1
|
449 |
+
tokenizers==0.15.2
|
450 |
+
toml==0.10.2
|
451 |
+
tomli==2.0.1
|
452 |
+
toolz==0.12.1
|
453 |
+
torch==2.1.0+cu121
|
454 |
+
torchaudio==2.1.0+cu121
|
455 |
+
torchdata==0.7.0
|
456 |
+
torchsummary==1.5.1
|
457 |
+
torchtext==0.16.0
|
458 |
+
torchvision==0.16.0+cu121
|
459 |
+
tornado==6.3.3
|
460 |
+
tqdm==4.66.2
|
461 |
+
traitlets==5.7.1
|
462 |
+
traittypes==0.2.1
|
463 |
+
transformers==4.38.2
|
464 |
+
triton==2.1.0
|
465 |
+
trl==0.7.11
|
466 |
+
tweepy==4.14.0
|
467 |
+
typer==0.9.0
|
468 |
+
types-pytz==2024.1.0.20240203
|
469 |
+
types-setuptools==69.1.0.20240302
|
470 |
+
typing_extensions==4.10.0
|
471 |
+
tyro==0.7.3
|
472 |
+
tzlocal==5.2
|
473 |
+
uc-micro-py==1.0.3
|
474 |
+
uritemplate==4.1.1
|
475 |
+
urllib3==2.0.7
|
476 |
+
vega-datasets==0.9.0
|
477 |
+
wadllib==1.3.6
|
478 |
+
wandb==0.16.4
|
479 |
+
wasabi==1.1.2
|
480 |
+
wcwidth==0.2.13
|
481 |
+
weasel==0.3.4
|
482 |
+
webcolors==1.13
|
483 |
+
webencodings==0.5.1
|
484 |
+
websocket-client==1.7.0
|
485 |
+
wheel==0.42.0
|
486 |
+
widgetsnbextension==3.6.6
|
487 |
+
wordcloud==1.9.3
|
488 |
+
wrapt==1.14.1
|
489 |
+
xarray-einstats==0.7.0
|
490 |
+
xarray==2023.7.0
|
491 |
+
xgboost==2.0.3
|
492 |
+
xlrd==2.0.1
|
493 |
+
xxhash==3.4.1
|
494 |
+
xyzservices==2023.10.1
|
495 |
+
yarl==1.9.4
|
496 |
+
yellowbrick==1.5
|
497 |
+
yfinance==0.2.37
|
498 |
+
zict==3.0.0
|
499 |
+
zipp==3.17.0
|
wandb/run-20240308_130200-qomx2zsg/files/wandb-metadata.json
ADDED
@@ -0,0 +1,82 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"os": "Linux-6.1.58+-x86_64-with-glibc2.35",
|
3 |
+
"python": "3.10.12",
|
4 |
+
"heartbeatAt": "2024-03-08T13:02:06.589080",
|
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2024-03-08 13:04:05,378 INFO Thread-12 :25394 [dir_watcher.py:_on_file_modified():288] file/dir modified: /content/wandb/run-20240308_130200-qomx2zsg/files/config.yaml
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2024-03-08 13:04:15,688 DEBUG HandlerThread:25394 [handler.py:handle_request():146] handle_request: status_report
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wandb/run-20240308_130200-qomx2zsg/logs/debug.log
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Current SDK version is 0.16.4
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Configure stats pid to 24536
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Loading settings from /content/wandb/settings
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_init.py:_log_setup():526] Logging user logs to /content/wandb/run-20240308_130200-qomx2zsg/logs/debug.log
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_init.py:_log_setup():527] Logging internal logs to /content/wandb/run-20240308_130200-qomx2zsg/logs/debug-internal.log
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2024-03-08 13:02:00,782 INFO MainThread:24536 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7a424cd9a800>
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2024-03-08 13:02:00,783 INFO MainThread:24536 [wandb_init.py:init():566] calling init triggers
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2024-03-08 13:02:00,783 INFO MainThread:24536 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
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config: {}
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2024-03-08 13:02:00,783 INFO MainThread:24536 [wandb_init.py:init():616] starting backend
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2024-03-08 13:02:00,783 INFO MainThread:24536 [wandb_init.py:init():620] setting up manager
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2024-03-08 13:02:00,785 INFO MainThread:24536 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-03-08 13:02:00,786 INFO MainThread:24536 [wandb_init.py:init():628] backend started and connected
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2024-03-08 13:02:00,798 INFO MainThread:24536 [wandb_run.py:_label_probe_notebook():1295] probe notebook
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2024-03-08 13:02:05,815 INFO MainThread:24536 [wandb_run.py:_label_probe_notebook():1305] Unable to probe notebook: 'NoneType' object has no attribute 'get'
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2024-03-08 13:02:05,815 INFO MainThread:24536 [wandb_init.py:init():720] updated telemetry
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2024-03-08 13:02:05,819 INFO MainThread:24536 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
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2024-03-08 13:02:06,338 INFO MainThread:24536 [wandb_run.py:_on_init():2262] communicating current version
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2024-03-08 13:02:06,561 INFO MainThread:24536 [wandb_run.py:_on_init():2271] got version response
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2024-03-08 13:02:06,561 INFO MainThread:24536 [wandb_init.py:init():804] starting run threads in backend
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2024-03-08 13:02:07,429 INFO MainThread:24536 [wandb_run.py:_console_start():2241] atexit reg
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2024-03-08 13:02:07,429 INFO MainThread:24536 [wandb_run.py:_redirect():2096] redirect: wrap_raw
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2024-03-08 13:02:07,429 INFO MainThread:24536 [wandb_run.py:_redirect():2161] Wrapping output streams.
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2024-03-08 13:02:07,429 INFO MainThread:24536 [wandb_run.py:_redirect():2186] Redirects installed.
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2024-03-08 13:02:07,430 INFO MainThread:24536 [wandb_init.py:init():847] run started, returning control to user process
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2024-03-08 13:02:07,434 INFO MainThread:24536 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 65024, 'hidden_size': 4544, 'num_hidden_layers': 32, 'num_attention_heads': 71, 'layer_norm_epsilon': 1e-05, 'initializer_range': 0.02, 'use_cache': False, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'bos_token_id': 11, 'eos_token_id': 11, 'num_kv_heads': 71, 'alibi': False, 'new_decoder_architecture': False, 'multi_query': True, 'parallel_attn': True, 'bias': 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, 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wandb/run-20240308_130200-qomx2zsg/run-qomx2zsg.wandb
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