| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.17.0 | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34 | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {} | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False} | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'} | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {} | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {} | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {} | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {} | |
| 2024-06-26 07:16:28,967 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'} | |
| 2024-06-26 07:16:28,967 ERROR MainThread:34 [wandb_setup.py:_flush():78] error in wandb.init() | |
| Traceback (most recent call last): | |
| File "/opt/conda/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3553, in run_code | |
| exec(code_obj, self.user_global_ns, self.user_ns) | |
| File "/tmp/ipykernel_34/2014566126.py", line 10, in <module> | |
| trainer.train() | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1885, in train | |
| return inner_training_loop( | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 2147, in _inner_training_loop | |
| self.control = self.callback_handler.on_train_begin(args, self.state, self.control) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer_callback.py", line 454, in on_train_begin | |
| return self.call_event("on_train_begin", args, state, control) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer_callback.py", line 498, in call_event | |
| result = getattr(callback, event)( | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/integrations/integration_utils.py", line 773, in on_train_begin | |
| self.setup(args, state, model, **kwargs) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/integrations/integration_utils.py", line 746, in setup | |
| self._wandb.init( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1178, in init | |
| wandb._sentry.reraise(e) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/analytics/sentry.py", line 155, in reraise | |
| raise exc.with_traceback(sys.exc_info()[2]) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1163, in init | |
| wi.setup(kwargs) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 300, in setup | |
| wandb_login._login( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 334, in _login | |
| wlogin.prompt_api_key() | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 256, in prompt_api_key | |
| key, status = self._prompt_api_key() | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 236, in _prompt_api_key | |
| key = apikey.prompt_api_key( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/apikey.py", line 151, in prompt_api_key | |
| key = input_callback(api_ask).strip() | |
| File "/opt/conda/lib/python3.10/site-packages/click/termui.py", line 164, in prompt | |
| value = prompt_func(prompt) | |
| File "/opt/conda/lib/python3.10/site-packages/click/termui.py", line 147, in prompt_func | |
| raise Abort() from None | |
| click.exceptions.Abort | |
| 2024-06-26 07:16:28,968 ERROR MainThread:34 [wandb_setup.py:_flush():78] error in wandb.init() | |
| Traceback (most recent call last): | |
| File "/opt/conda/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3553, in run_code | |
| exec(code_obj, self.user_global_ns, self.user_ns) | |
| File "/tmp/ipykernel_34/4032920361.py", line 1, in <module> | |
| trainer.train() | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1885, in train | |
| return inner_training_loop( | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 2147, in _inner_training_loop | |
| self.control = self.callback_handler.on_train_begin(args, self.state, self.control) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer_callback.py", line 454, in on_train_begin | |
| return self.call_event("on_train_begin", args, state, control) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer_callback.py", line 498, in call_event | |
| result = getattr(callback, event)( | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/integrations/integration_utils.py", line 773, in on_train_begin | |
| self.setup(args, state, model, **kwargs) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/integrations/integration_utils.py", line 746, in setup | |
| self._wandb.init( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1178, in init | |
| wandb._sentry.reraise(e) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/analytics/sentry.py", line 155, in reraise | |
| raise exc.with_traceback(sys.exc_info()[2]) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1163, in init | |
| wi.setup(kwargs) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 300, in setup | |
| wandb_login._login( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 334, in _login | |
| wlogin.prompt_api_key() | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 256, in prompt_api_key | |
| key, status = self._prompt_api_key() | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 236, in _prompt_api_key | |
| key = apikey.prompt_api_key( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/apikey.py", line 151, in prompt_api_key | |
| key = input_callback(api_ask).strip() | |
| File "/opt/conda/lib/python3.10/site-packages/click/termui.py", line 164, in prompt | |
| value = prompt_func(prompt) | |
| File "/opt/conda/lib/python3.10/site-packages/click/termui.py", line 147, in prompt_func | |
| raise Abort() from None | |
| click.exceptions.Abort | |
| 2024-06-26 07:16:28,968 ERROR MainThread:34 [wandb_setup.py:_flush():78] error in wandb.init() | |
| Traceback (most recent call last): | |
| File "/opt/conda/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3553, in run_code | |
| exec(code_obj, self.user_global_ns, self.user_ns) | |
| File "/tmp/ipykernel_34/4032920361.py", line 1, in <module> | |
| trainer.train() | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1885, in train | |
| return inner_training_loop( | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 2147, in _inner_training_loop | |
| self.control = self.callback_handler.on_train_begin(args, self.state, self.control) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer_callback.py", line 454, in on_train_begin | |
| return self.call_event("on_train_begin", args, state, control) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/trainer_callback.py", line 498, in call_event | |
| result = getattr(callback, event)( | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/integrations/integration_utils.py", line 773, in on_train_begin | |
| self.setup(args, state, model, **kwargs) | |
| File "/opt/conda/lib/python3.10/site-packages/transformers/integrations/integration_utils.py", line 746, in setup | |
| self._wandb.init( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1178, in init | |
| wandb._sentry.reraise(e) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/analytics/sentry.py", line 155, in reraise | |
| raise exc.with_traceback(sys.exc_info()[2]) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1163, in init | |
| wi.setup(kwargs) | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 300, in setup | |
| wandb_login._login( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 334, in _login | |
| wlogin.prompt_api_key() | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 256, in prompt_api_key | |
| key, status = self._prompt_api_key() | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_login.py", line 236, in _prompt_api_key | |
| key = apikey.prompt_api_key( | |
| File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/apikey.py", line 151, in prompt_api_key | |
| key = input_callback(api_ask).strip() | |
| File "/opt/conda/lib/python3.10/site-packages/click/termui.py", line 164, in prompt | |
| value = prompt_func(prompt) | |
| File "/opt/conda/lib/python3.10/site-packages/click/termui.py", line 147, in prompt_func | |
| raise Abort() from None | |
| click.exceptions.Abort | |
| 2024-06-26 07:16:28,969 INFO MainThread:34 [wandb_init.py:_log_setup():520] Logging user logs to /kaggle/working/wandb/run-20240626_071628-smnm2aje/logs/debug.log | |
| 2024-06-26 07:16:28,969 INFO MainThread:34 [wandb_init.py:_log_setup():521] Logging internal logs to /kaggle/working/wandb/run-20240626_071628-smnm2aje/logs/debug-internal.log | |
| 2024-06-26 07:16:28,969 INFO MainThread:34 [wandb_init.py:_jupyter_setup():466] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x78720aaa5b40> | |
| 2024-06-26 07:16:28,969 INFO MainThread:34 [wandb_init.py:init():560] calling init triggers | |
| 2024-06-26 07:16:28,969 INFO MainThread:34 [wandb_init.py:init():567] wandb.init called with sweep_config: {} | |
| config: {} | |
| 2024-06-26 07:16:28,969 INFO MainThread:34 [wandb_init.py:init():610] starting backend | |
| 2024-06-26 07:16:28,969 INFO MainThread:34 [wandb_init.py:init():614] setting up manager | |
| 2024-06-26 07:16:28,971 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn | |
| 2024-06-26 07:16:28,977 INFO MainThread:34 [wandb_init.py:init():622] backend started and connected | |
| 2024-06-26 07:16:28,989 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1328] probe notebook | |
| 2024-06-26 07:16:29,303 INFO MainThread:34 [wandb_init.py:init():711] updated telemetry | |
| 2024-06-26 07:16:29,306 INFO MainThread:34 [wandb_init.py:init():744] communicating run to backend with 90.0 second timeout | |
| 2024-06-26 07:16:29,429 INFO MainThread:34 [wandb_run.py:_on_init():2396] communicating current version | |
| 2024-06-26 07:16:29,507 INFO MainThread:34 [wandb_run.py:_on_init():2405] got version response upgrade_message: "wandb version 0.17.3 is available! To upgrade, please run:\n $ pip install wandb --upgrade" | |
| 2024-06-26 07:16:29,507 INFO MainThread:34 [wandb_init.py:init():795] starting run threads in backend | |
| 2024-06-26 07:16:45,662 INFO MainThread:34 [wandb_run.py:_console_start():2374] atexit reg | |
| 2024-06-26 07:16:45,662 INFO MainThread:34 [wandb_run.py:_redirect():2229] redirect: wrap_raw | |
| 2024-06-26 07:16:45,662 INFO MainThread:34 [wandb_run.py:_redirect():2294] Wrapping output streams. | |
| 2024-06-26 07:16:45,663 INFO MainThread:34 [wandb_run.py:_redirect():2319] Redirects installed. | |
| 2024-06-26 07:16:45,672 INFO MainThread:34 [wandb_init.py:init():838] run started, returning control to user process | |
| 2024-06-26 07:16:45,678 INFO MainThread:34 [wandb_run.py:_config_callback():1376] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 14336, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'sliding_window': None, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'use_cache': False, 'rope_theta': 1000000.0, 'attention_dropout': 0.0, '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': False, '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': ['MistralForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TheBloke/Mistral-7B-Instruct-v0.2-GPTQ', 'transformers_version': '4.41.2', 'model_type': 'mistral', 'pretraining_tp': 1, 'quantization_config': {'quant_method': 'QuantizationMethod.GPTQ', 'bits': 4, 'tokenizer': None, 'dataset': None, 'group_size': 128, 'damp_percent': 0.1, 'desc_act': True, 'sym': True, 'true_sequential': True, 'use_cuda_fp16': False, 'model_seqlen': None, 'block_name_to_quantize': None, 'module_name_preceding_first_block': None, 'batch_size': 1, 'pad_token_id': None, 'use_exllama': True, 'max_input_length': None, 'exllama_config': {'version': 'ExllamaVersion.ONE'}, 'cache_block_outputs': True, 'modules_in_block_to_quantize': None}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'epoch', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, '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': 0.0002, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 10, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 2, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Jun26_07-16-15_adc95cf38b20', 'logging_strategy': 'epoch', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'epoch', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, '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, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': False, '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, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, '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, 'batch_eval_metrics': False} | |
| 2024-06-26 07:18:26,851 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook | |
| 2024-06-26 07:18:26,851 INFO MainThread:34 [wandb_init.py:_pause_backend():431] pausing backend | |
| 2024-06-26 07:18:50,892 INFO MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend | |
| 2024-06-26 07:18:50,915 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook | |
| 2024-06-26 07:18:50,915 INFO MainThread:34 [wandb_init.py:_pause_backend():431] pausing backend | |
| 2024-06-26 07:18:51,909 INFO MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend | |
| 2024-06-26 07:18:51,913 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook | |
| 2024-06-26 07:18:51,913 INFO MainThread:34 [wandb_init.py:_pause_backend():431] pausing backend | |
| 2024-06-26 07:18:52,853 INFO MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend | |
| 2024-06-26 07:18:52,855 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook | |
| 2024-06-26 07:18:52,855 INFO MainThread:34 [wandb_init.py:_pause_backend():431] pausing backend | |
| 2024-06-26 07:18:53,667 INFO MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend | |
| 2024-06-26 07:18:53,670 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook | |
| 2024-06-26 07:18:53,670 INFO MainThread:34 [wandb_init.py:_pause_backend():431] pausing backend | |
| 2024-06-26 07:18:54,691 INFO MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend | |
| 2024-06-26 07:18:54,756 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook | |
| 2024-06-26 07:18:54,756 INFO MainThread:34 [wandb_init.py:_pause_backend():431] pausing backend | |
| 2024-06-26 07:18:55,617 INFO MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend | |
| 2024-06-26 07:18:55,682 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook | |
| 2024-06-26 07:18:55,682 INFO MainThread:34 [wandb_init.py:_pause_backend():431] pausing backend | |
| 2024-06-26 07:18:56,512 INFO MainThread:34 [wandb_init.py:_resume_backend():436] resuming backend | |
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| 2024-06-26 07:19:07,961 INFO MainThread:34 [wandb_run.py:_config_callback():1376] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 14336, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'sliding_window': None, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'use_cache': False, 'rope_theta': 1000000.0, 'attention_dropout': 0.0, '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': False, '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': ['MistralForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TheBloke/Mistral-7B-Instruct-v0.2-GPTQ', 'transformers_version': '4.41.2', 'model_type': 'mistral', 'pretraining_tp': 1, 'quantization_config': {'quant_method': 'QuantizationMethod.GPTQ', 'bits': 4, 'tokenizer': None, 'dataset': None, 'group_size': 128, 'damp_percent': 0.1, 'desc_act': True, 'sym': True, 'true_sequential': True, 'use_cuda_fp16': False, 'model_seqlen': None, 'block_name_to_quantize': None, 'module_name_preceding_first_block': None, 'batch_size': 1, 'pad_token_id': None, 'use_exllama': True, 'max_input_length': None, 'exllama_config': {'version': 'ExllamaVersion.ONE'}, 'cache_block_outputs': True, 'modules_in_block_to_quantize': None}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'epoch', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, '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': 0.0002, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 10, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 2, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Jun26_07-19-05_adc95cf38b20', 'logging_strategy': 'epoch', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'epoch', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, '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, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': False, '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, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, '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, 'batch_eval_metrics': False} | |
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