object of type 'NoneType' has no len()

[nitinyadav250]

(fairseq) dilip@dilip-Komplett-PC:/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/scripts/finetuning$ bash start_finetuning.sh
** Directory to code is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation
**
** Config path is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/config/finetuning/
** Data path is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning
** Checkpoint will be saved at: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning
** Logs will be saved at: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/logs/finetuning
** Update frequency is: -24/usr/local/lib/python3.8/dist-packages/torch/cuda/init.py:143: UserWarning:
NVIDIA GeForce RTX 3090 with CUDA capability sm_86 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the NVIDIA GeForce RTX 3090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
[2024-04-23 15:59:37,124][fairseq_cli.train][INFO] - {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 1, 'log_format': 'json', 'log_file': None, 'aim_repo': None, 'aim_run_hash': None, 'tensorboard_logdir': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/logs/finetuning/tensorboard', 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': True, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 'fp16_init_scale': 128, 'fp16_scale_window': None, 'fp16_scale_tolerance': 0.0, 'on_cpu_convert_precision': False, 'min_loss_scale': 0.0001, 'threshold_loss_scale': None, 'amp': False, 'amp_batch_retries': 2, 'amp_init_scale': 128, 'amp_scale_window': None, 'user_dir': None, 'empty_cache_freq': 0, 'all_gather_list_size': 16384, 'model_parallel_size': 1, 'quantization_config_path': None, 'profile': False, 'reset_logging': False, 'suppress_crashes': False, 'use_plasma_view': False, 'plasma_path': '/tmp/plasma'}, 'common_eval': {'_name': None, 'path': None, 'post_process': None, 'quiet': False, 'model_overrides': '{}', 'results_path': None}, 'distributed_training': {'_name': None, 'distributed_world_size': -1, 'distributed_num_procs': -1, 'distributed_rank': 0, 'distributed_backend': 'nccl', 'distributed_init_method': None, 'distributed_port': -1, 'device_id': 0, 'distributed_no_spawn': False, 'ddp_backend': 'legacy_ddp', 'ddp_comm_hook': 'none', 'bucket_cap_mb': 25, 'fix_batches_to_gpus': False, 'find_unused_parameters': False, 'gradient_as_bucket_view': False, 'fast_stat_sync': False, 'heartbeat_timeout': -1, 'broadcast_buffers': False, 'slowmo_momentum': None, 'slowmo_base_algorithm': 'localsgd', 'localsgd_frequency': 3, 'nprocs_per_node': 1, 'pipeline_model_parallel': False, 'pipeline_balance': None, 'pipeline_devices': None, 'pipeline_chunks': 0, 'pipeline_encoder_balance': None, 'pipeline_encoder_devices': None, 'pipeline_decoder_balance': None, 'pipeline_decoder_devices': None, 'pipeline_checkpoint': 'never', 'zero_sharding': 'none', 'fp16': True, 'memory_efficient_fp16': False, 'tpu': False, 'no_reshard_after_forward': False, 'fp32_reduce_scatter': False, 'cpu_offload': False, 'use_sharded_state': False, 'not_fsdp_flatten_parameters': False}, 'dataset': {'_name': None, 'num_workers': 4, 'skip_invalid_size_inputs_valid_test': True, 'max_tokens': 1000000, 'batch_size': None, 'required_batch_size_multiple': 8, 'required_seq_len_multiple': 1, 'dataset_impl': None, 'data_buffer_size': 10, 'train_subset': 'train', 'valid_subset': 'valid', 'combine_valid_subsets': None, 'ignore_unused_valid_subsets': False, 'validate_interval': 1, 'validate_interval_updates': 0, 'validate_after_updates': 0, 'fixed_validation_seed': None, 'disable_validation': False, 'max_tokens_valid': 1000000, 'batch_size_valid': None, 'max_valid_steps': None, 'curriculum': 0, 'gen_subset': 'test', 'num_shards': 1, 'shard_id': 0, 'grouped_shuffling': False, 'update_epoch_batch_itr': False, 'update_ordered_indices_seed': False}, 'optimization': {'_name': None, 'max_epoch': 0, 'max_update': 20000, 'stop_time_hours': 0.0, 'clip_norm': 0.0, 'sentence_avg': True, 'update_freq': [-24], 'lr': [5e-05], 'stop_min_lr': -1.0, 'use_bmuf': False, 'skip_remainder_batch': False}, 'checkpoint': {'_name': None, 'save_dir': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning', 'restore_file': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning/checkpoint_last.pt', 'continue_once': None, 'finetune_from_model': None, 'reset_dataloader': False, 'reset_lr_scheduler': False, 'reset_meters': False, 'reset_optimizer': False, 'optimizer_overrides': '{}', 'save_interval': 1, 'save_interval_updates': 0, 'keep_interval_updates': -1, 'keep_interval_updates_pattern': -1, 'keep_last_epochs': -1, 'keep_best_checkpoints': -1, 'no_save': False, 'no_epoch_checkpoints': True, 'no_last_checkpoints': False, 'no_save_optimizer_state': False, 'best_checkpoint_metric': 'wer', 'maximize_best_checkpoint_metric': False, 'patience': -1, 'checkpoint_suffix': '', 'checkpoint_shard_count': 1, 'load_checkpoint_on_all_dp_ranks': False, 'write_checkpoints_asynchronously': False, 'model_parallel_size': 1}, 'bmuf': {'_name': None, 'block_lr': 1.0, 'block_momentum': 0.875, 'global_sync_iter': 50, 'warmup_iterations': 500, 'use_nbm': False, 'average_sync': False, 'distributed_world_size': -1}, 'generation': {'_name': None, 'beam': 5, 'nbest': 1, 'max_len_a': 0.0, 'max_len_b': 200, 'min_len': 1, 'match_source_len': False, 'unnormalized': False, 'no_early_stop': False, 'no_beamable_mm': False, 'lenpen': 1.0, 'unkpen': 0.0, 'replace_unk': None, 'sacrebleu': False, 'score_reference': False, 'prefix_size': 0, 'no_repeat_ngram_size': 0, 'sampling': False, 'sampling_topk': -1, 'sampling_topp': -1.0, 'constraints': None, 'temperature': 1.0, 'diverse_beam_groups': -1, 'diverse_beam_strength': 0.5, 'diversity_rate': -1.0, 'print_alignment': None, 'print_step': False, 'lm_path': None, 'lm_weight': 0.0, 'iter_decode_eos_penalty': 0.0, 'iter_decode_max_iter': 10, 'iter_decode_force_max_iter': False, 'iter_decode_with_beam': 1, 'iter_decode_with_external_reranker': False, 'retain_iter_history': False, 'retain_dropout': False, 'retain_dropout_modules': None, 'decoding_format': None, 'no_seed_provided': False, 'eos_token': None}, 'eval_lm': {'_name': None, 'output_word_probs': False, 'output_word_stats': False, 'context_window': 0, 'softmax_batch': 9223372036854775807}, 'interactive': {'_name': None, 'buffer_size': 0, 'input': '-'}, 'model': {'_name': 'wav2vec_ctc', 'w2v_path': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/pretraining/checkpoint_best.pt', 'no_pretrained_weights': False, 'dropout_input': 0.0, 'final_dropout': 0.0, 'dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.1, 'conv_feature_layers': '[(512, 10, 5)] + [(512, 3, 2)] * 4 + [(512,2,2)] + [(512,2,2)]', 'encoder_embed_dim': 768, 'apply_mask': True, 'mask_length': 10, 'mask_prob': 0.65, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'require_same_masks': True, 'mask_dropout': 0.0, 'mask_channel_length': 64, 'mask_channel_prob': 0.5, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'freeze_finetune_updates': 100, 'feature_grad_mult': 0.0, 'layerdrop': 0.05, 'mask_channel_min_space': 1, 'mask_channel_before': False, 'normalize': False, 'data': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning', 'w2v_args': None, 'offload_activations': False, 'min_params_to_wrap': 100000000, 'checkpoint_activations': False, 'ddp_backend': 'legacy_ddp', 'blank_weight': 0.0, 'blank_mode': 'add'}, 'task': {'_name': 'audio_pretraining', 'data': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning', 'labels': 'ltr', 'binarized_dataset': False, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_sample_size': None, 'min_sample_size': None, 'num_batch_buckets': 0, 'precompute_mask_indices': False, 'inferred_w2v_config': None, 'tpu': False, 'text_compression_level': none}, 'criterion': {'_name': 'ctc', 'zero_infinity': True, 'sentence_avg': True, 'post_process': 'letter', 'wer_kenlm_model': None, 'wer_lexicon': None, 'wer_lm_weight': 2.0, 'wer_word_score': -1.0, 'wer_args': None}, 'optimizer': {'_name': 'adam', 'adam_betas': '(0.9,0.98)', 'adam_eps': 1e-08, 'weight_decay': 0.0, 'use_old_adam': False, 'fp16_adam_stats': False, 'tpu': False, 'lr': [5e-05]}, 'lr_scheduler': {'_name': 'tri_stage', 'warmup_steps': 0, 'hold_steps': 0, 'decay_steps': 0, 'phase_ratio': [0.1, 0.4, 0.5], 'init_lr_scale': 0.01, 'final_lr_scale': 0.05, 'max_update': 20000.0, 'lr': [5e-05]}, 'scoring': None, 'bpe': None, 'tokenizer': None, 'ema': {'_name': None, 'store_ema': False, 'ema_decay': 0.9999, 'ema_start_update': 0, 'ema_seed_model': None, 'ema_update_freq': 1, 'ema_fp32': False}, 'job_logging_cfg': {'version': 1, 'formatters': {'simple': {'format': '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'}}, 'handlers': {'console': {'class': 'logging.StreamHandler', 'formatter': 'simple', 'stream': 'ext://sys.stdout'}, 'file': {'class': 'logging.FileHandler', 'formatter': 'simple', 'filename': 'hydra_train.log'}}, 'root': {'level': 'INFO', 'handlers': ['console', 'file']}, 'disable_existing_loggers': False}}
Traceback (most recent call last):
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/hydra_train.py", line 27, in hydra_main
_hydra_main(cfg)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/hydra_train.py", line 56, in _hydra_main
distributed_utils.call_main(cfg, pre_main, **kwargs)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/distributed/utils.py", line 369, in call_main
main(cfg, **kwargs)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/train.py", line 96, in main
model = task.build_model(cfg.model)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/tasks/audio_pretraining.py", line 197, in build_model
model = super().build_model(model_cfg, from_checkpoint)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/tasks/fairseq_task.py", line 338, in build_model
model = models.build_model(cfg, self, from_checkpoint)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/models/init.py", line 106, in build_model
return model.build_model(cfg, task)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/models/wav2vec/wav2vec2_asr.py", line 208, in build_model
w2v_encoder = Wav2VecEncoder(cfg, len(task.target_dictionary))
TypeError: object of type 'NoneType' has no len()

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
(fairseq) dilip@dilip-Komplett-PC:/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/scripts/finetuning$ bash start_finetuning.sh
** Directory to code is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation
**
** Config path is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/config/finetuning/
** Data path is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning
** Checkpoint will be saved at: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning
** Logs will be saved at: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/logs/finetuning
** Update frequency is: -24/usr/local/lib/python3.8/dist-packages/torch/cuda/init.py:143: UserWarning:
NVIDIA GeForce RTX 3090 with CUDA capability sm_86 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the NVIDIA GeForce RTX 3090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
[2024-04-23 16:00:59,299][fairseq_cli.train][INFO] - {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 1, 'log_format': 'json', 'log_file': None, 'aim_repo': None, 'aim_run_hash': None, 'tensorboard_logdir': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/logs/finetuning/tensorboard', 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': True, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 'fp16_init_scale': 128, 'fp16_scale_window': None, 'fp16_scale_tolerance': 0.0, 'on_cpu_convert_precision': False, 'min_loss_scale': 0.0001, 'threshold_loss_scale': None, 'amp': False, 'amp_batch_retries': 2, 'amp_init_scale': 128, 'amp_scale_window': None, 'user_dir': None, 'empty_cache_freq': 0, 'all_gather_list_size': 16384, 'model_parallel_size': 1, 'quantization_config_path': None, 'profile': False, 'reset_logging': False, 'suppress_crashes': False, 'use_plasma_view': False, 'plasma_path': '/tmp/plasma'}, 'common_eval': {'_name': None, 'path': None, 'post_process': None, 'quiet': False, 'model_overrides': '{}', 'results_path': None}, 'distributed_training': {'_name': None, 'distributed_world_size': -1, 'distributed_num_procs': -1, 'distributed_rank': 0, 'distributed_backend': 'nccl', 'distributed_init_method': None, 'distributed_port': -1, 'device_id': 0, 'distributed_no_spawn': False, 'ddp_backend': 'legacy_ddp', 'ddp_comm_hook': 'none', 'bucket_cap_mb': 25, 'fix_batches_to_gpus': False, 'find_unused_parameters': False, 'gradient_as_bucket_view': False, 'fast_stat_sync': False, 'heartbeat_timeout': -1, 'broadcast_buffers': False, 'slowmo_momentum': None, 'slowmo_base_algorithm': 'localsgd', 'localsgd_frequency': 3, 'nprocs_per_node': 1, 'pipeline_model_parallel': False, 'pipeline_balance': None, 'pipeline_devices': None, 'pipeline_chunks': 0, 'pipeline_encoder_balance': None, 'pipeline_encoder_devices': None, 'pipeline_decoder_balance': None, 'pipeline_decoder_devices': None, 'pipeline_checkpoint': 'never', 'zero_sharding': 'none', 'fp16': True, 'memory_efficient_fp16': False, 'tpu': False, 'no_reshard_after_forward': False, 'fp32_reduce_scatter': False, 'cpu_offload': False, 'use_sharded_state': False, 'not_fsdp_flatten_parameters': False}, 'dataset': {'_name': None, 'num_workers': 4, 'skip_invalid_size_inputs_valid_test': True, 'max_tokens': 1000000, 'batch_size': None, 'required_batch_size_multiple': 8, 'required_seq_len_multiple': 1, 'dataset_impl': None, 'data_buffer_size': 10, 'train_subset': 'train', 'valid_subset': 'valid', 'combine_valid_subsets': None, 'ignore_unused_valid_subsets': False, 'validate_interval': 1, 'validate_interval_updates': 0, 'validate_after_updates': 0, 'fixed_validation_seed': None, 'disable_validation': False, 'max_tokens_valid': 1000000, 'batch_size_valid': None, 'max_valid_steps': None, 'curriculum': 0, 'gen_subset': 'test', 'num_shards': 1, 'shard_id': 0, 'grouped_shuffling': False, 'update_epoch_batch_itr': False, 'update_ordered_indices_seed': False}, 'optimization': {'_name': None, 'max_epoch': 0, 'max_update': 20000, 'stop_time_hours': 0.0, 'clip_norm': 0.0, 'sentence_avg': True, 'update_freq': [-24], 'lr': [5e-05], 'stop_min_lr': -1.0, 'use_bmuf': False, 'skip_remainder_batch': False}, 'checkpoint': {'_name': None, 'save_dir': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning', 'restore_file': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning/checkpoint_last.pt', 'continue_once': None, 'finetune_from_model': None, 'reset_dataloader': False, 'reset_lr_scheduler': False, 'reset_meters': False, 'reset_optimizer': False, 'optimizer_overrides': '{}', 'save_interval': 1, 'save_interval_updates': 0, 'keep_interval_updates': -1, 'keep_interval_updates_pattern': -1, 'keep_last_epochs': -1, 'keep_best_checkpoints': -1, 'no_save': False, 'no_epoch_checkpoints': True, 'no_last_checkpoints': False, 'no_save_optimizer_state': False, 'best_checkpoint_metric': 'wer', 'maximize_best_checkpoint_metric': False, 'patience': -1, 'checkpoint_suffix': '', 'checkpoint_shard_count': 1, 'load_checkpoint_on_all_dp_ranks': False, 'write_checkpoints_asynchronously': False, 'model_parallel_size': 1}, 'bmuf': {'_name': None, 'block_lr': 1.0, 'block_momentum': 0.875, 'global_sync_iter': 50, 'warmup_iterations': 500, 'use_nbm': False, 'average_sync': False, 'distributed_world_size': -1}, 'generation': {'_name': None, 'beam': 5, 'nbest': 1, 'max_len_a': 0.0, 'max_len_b': 200, 'min_len': 1, 'match_source_len': False, 'unnormalized': False, 'no_early_stop': False, 'no_beamable_mm': False, 'lenpen': 1.0, 'unkpen': 0.0, 'replace_unk': None, 'sacrebleu': False, 'score_reference': False, 'prefix_size': 0, 'no_repeat_ngram_size': 0, 'sampling': False, 'sampling_topk': -1, 'sampling_topp': -1.0, 'constraints': None, 'temperature': 1.0, 'diverse_beam_groups': -1, 'diverse_beam_strength': 0.5, 'diversity_rate': -1.0, 'print_alignment': None, 'print_step': False, 'lm_path': None, 'lm_weight': 0.0, 'iter_decode_eos_penalty': 0.0, 'iter_decode_max_iter': 10, 'iter_decode_force_max_iter': False, 'iter_decode_with_beam': 1, 'iter_decode_with_external_reranker': False, 'retain_iter_history': False, 'retain_dropout': False, 'retain_dropout_modules': None, 'decoding_format': None, 'no_seed_provided': False, 'eos_token': None}, 'eval_lm': {'_name': None, 'output_word_probs': False, 'output_word_stats': False, 'context_window': 0, 'softmax_batch': 9223372036854775807}, 'interactive': {'_name': None, 'buffer_size': 0, 'input': '-'}, 'model': {'_name': 'wav2vec_ctc', 'w2v_path': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/pretraining/checkpoint_best.pt', 'no_pretrained_weights': False, 'dropout_input': 0.0, 'final_dropout': 0.0, 'dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.1, 'conv_feature_layers': '[(512, 10, 5)] + [(512, 3, 2)] * 4 + [(512,2,2)] + [(512,2,2)]', 'encoder_embed_dim': 768, 'apply_mask': True, 'mask_length': 10, 'mask_prob': 0.65, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'require_same_masks': True, 'mask_dropout': 0.0, 'mask_channel_length': 64, 'mask_channel_prob': 0.5, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'freeze_finetune_updates': 100, 'feature_grad_mult': 0.0, 'layerdrop': 0.05, 'mask_channel_min_space': 1, 'mask_channel_before': False, 'normalize': False, 'data': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning', 'w2v_args': None, 'offload_activations': False, 'min_params_to_wrap': 100000000, 'checkpoint_activations': False, 'ddp_backend': 'legacy_ddp', 'blank_weight': 0.0, 'blank_mode': 'add'}, 'task': {'_name': 'audio_pretraining', 'data': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning', 'labels': 'ltr', 'binarized_dataset': False, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_sample_size': None, 'min_sample_size': None, 'num_batch_buckets': 0, 'precompute_mask_indices': False, 'inferred_w2v_config': None, 'tpu': False, 'text_compression_level': none}, 'criterion': {'_name': 'ctc', 'zero_infinity': True, 'sentence_avg': True, 'post_process': 'letter', 'wer_kenlm_model': None, 'wer_lexicon': None, 'wer_lm_weight': 2.0, 'wer_word_score': -1.0, 'wer_args': None}, 'optimizer': {'_name': 'adam', 'adam_betas': '(0.9,0.98)', 'adam_eps': 1e-08, 'weight_decay': 0.0, 'use_old_adam': False, 'fp16_adam_stats': False, 'tpu': False, 'lr': [5e-05]}, 'lr_scheduler': {'_name': 'tri_stage', 'warmup_steps': 0, 'hold_steps': 0, 'decay_steps': 0, 'phase_ratio': [0.1, 0.4, 0.5], 'init_lr_scale': 0.01, 'final_lr_scale': 0.05, 'max_update': 20000.0, 'lr': [5e-05]}, 'scoring': None, 'bpe': None, 'tokenizer': None, 'ema': {'_name': None, 'store_ema': False, 'ema_decay': 0.9999, 'ema_start_update': 0, 'ema_seed_model': None, 'ema_update_freq': 1, 'ema_fp32': False}, 'job_logging_cfg': {'version': 1, 'formatters': {'simple': {'format': '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'}}, 'handlers': {'console': {'class': 'logging.StreamHandler', 'formatter': 'simple', 'stream': 'ext://sys.stdout'}, 'file': {'class': 'logging.FileHandler', 'formatter': 'simple', 'filename': 'hydra_train.log'}}, 'root': {'level': 'INFO', 'handlers': ['console', 'file']}, 'disable_existing_loggers': False}}
Traceback (most recent call last):
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/hydra_train.py", line 27, in hydra_main
_hydra_main(cfg)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/hydra_train.py", line 56, in _hydra_main
distributed_utils.call_main(cfg, pre_main, **kwargs)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/distributed/utils.py", line 369, in call_main
main(cfg, **kwargs)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/train.py", line 96, in main
model = task.build_model(cfg.model)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/tasks/audio_pretraining.py", line 197, in build_model
model = super().build_model(model_cfg, from_checkpoint)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/tasks/fairseq_task.py", line 338, in build_model
model = models.build_model(cfg, self, from_checkpoint)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/models/init.py", line 106, in build_model
return model.build_model(cfg, task)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/models/wav2vec/wav2vec2_asr.py", line 208, in build_model
w2v_encoder = Wav2VecEncoder(cfg, len(task.target_dictionary))
TypeError: object of type 'NoneType' has no len()

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
(fairseq) dilip@dilip-Komplett-PC:/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/scripts/finetuning$ bash start_finetuning.sh
** Directory to code is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation
**
** Config path is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/config/finetuning/
** Data path is: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning
** Checkpoint will be saved at: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning
** Logs will be saved at: /media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/logs/finetuning
** Update frequency is: -24/usr/local/lib/python3.8/dist-packages/torch/cuda/init.py:143: UserWarning:
NVIDIA GeForce RTX 3090 with CUDA capability sm_86 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the NVIDIA GeForce RTX 3090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
[2024-04-23 16:02:11,199][fairseq_cli.train][INFO] - {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 1, 'log_format': 'json', 'log_file': None, 'aim_repo': None, 'aim_run_hash': None, 'tensorboard_logdir': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/logs/finetuning/tensorboard', 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': True, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 'fp16_init_scale': 128, 'fp16_scale_window': None, 'fp16_scale_tolerance': 0.0, 'on_cpu_convert_precision': False, 'min_loss_scale': 0.0001, 'threshold_loss_scale': None, 'amp': False, 'amp_batch_retries': 2, 'amp_init_scale': 128, 'amp_scale_window': None, 'user_dir': None, 'empty_cache_freq': 0, 'all_gather_list_size': 16384, 'model_parallel_size': 1, 'quantization_config_path': None, 'profile': False, 'reset_logging': False, 'suppress_crashes': False, 'use_plasma_view': False, 'plasma_path': '/tmp/plasma'}, 'common_eval': {'_name': None, 'path': None, 'post_process': None, 'quiet': False, 'model_overrides': '{}', 'results_path': None}, 'distributed_training': {'_name': None, 'distributed_world_size': -1, 'distributed_num_procs': -1, 'distributed_rank': 0, 'distributed_backend': 'nccl', 'distributed_init_method': None, 'distributed_port': -1, 'device_id': 0, 'distributed_no_spawn': False, 'ddp_backend': 'legacy_ddp', 'ddp_comm_hook': 'none', 'bucket_cap_mb': 25, 'fix_batches_to_gpus': False, 'find_unused_parameters': False, 'gradient_as_bucket_view': False, 'fast_stat_sync': False, 'heartbeat_timeout': -1, 'broadcast_buffers': False, 'slowmo_momentum': None, 'slowmo_base_algorithm': 'localsgd', 'localsgd_frequency': 3, 'nprocs_per_node': 1, 'pipeline_model_parallel': False, 'pipeline_balance': None, 'pipeline_devices': None, 'pipeline_chunks': 0, 'pipeline_encoder_balance': None, 'pipeline_encoder_devices': None, 'pipeline_decoder_balance': None, 'pipeline_decoder_devices': None, 'pipeline_checkpoint': 'never', 'zero_sharding': 'none', 'fp16': True, 'memory_efficient_fp16': False, 'tpu': False, 'no_reshard_after_forward': False, 'fp32_reduce_scatter': False, 'cpu_offload': False, 'use_sharded_state': False, 'not_fsdp_flatten_parameters': False}, 'dataset': {'_name': None, 'num_workers': 4, 'skip_invalid_size_inputs_valid_test': True, 'max_tokens': 1000000, 'batch_size': None, 'required_batch_size_multiple': 8, 'required_seq_len_multiple': 1, 'dataset_impl': None, 'data_buffer_size': 10, 'train_subset': 'train', 'valid_subset': 'valid', 'combine_valid_subsets': None, 'ignore_unused_valid_subsets': False, 'validate_interval': 1, 'validate_interval_updates': 0, 'validate_after_updates': 0, 'fixed_validation_seed': None, 'disable_validation': False, 'max_tokens_valid': 1000000, 'batch_size_valid': None, 'max_valid_steps': None, 'curriculum': 0, 'gen_subset': 'test', 'num_shards': 1, 'shard_id': 0, 'grouped_shuffling': False, 'update_epoch_batch_itr': False, 'update_ordered_indices_seed': False}, 'optimization': {'_name': None, 'max_epoch': 0, 'max_update': 20000, 'stop_time_hours': 0.0, 'clip_norm': 0.0, 'sentence_avg': True, 'update_freq': [-24], 'lr': [5e-05], 'stop_min_lr': -1.0, 'use_bmuf': False, 'skip_remainder_batch': False}, 'checkpoint': {'_name': None, 'save_dir': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning', 'restore_file': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/finetuning/checkpoint_last.pt', 'continue_once': None, 'finetune_from_model': None, 'reset_dataloader': False, 'reset_lr_scheduler': False, 'reset_meters': False, 'reset_optimizer': False, 'optimizer_overrides': '{}', 'save_interval': 1, 'save_interval_updates': 0, 'keep_interval_updates': -1, 'keep_interval_updates_pattern': -1, 'keep_last_epochs': -1, 'keep_best_checkpoints': -1, 'no_save': False, 'no_epoch_checkpoints': True, 'no_last_checkpoints': False, 'no_save_optimizer_state': False, 'best_checkpoint_metric': 'wer', 'maximize_best_checkpoint_metric': False, 'patience': -1, 'checkpoint_suffix': '', 'checkpoint_shard_count': 1, 'load_checkpoint_on_all_dp_ranks': False, 'write_checkpoints_asynchronously': False, 'model_parallel_size': 1}, 'bmuf': {'_name': None, 'block_lr': 1.0, 'block_momentum': 0.875, 'global_sync_iter': 50, 'warmup_iterations': 500, 'use_nbm': False, 'average_sync': False, 'distributed_world_size': -1}, 'generation': {'_name': None, 'beam': 5, 'nbest': 1, 'max_len_a': 0.0, 'max_len_b': 200, 'min_len': 1, 'match_source_len': False, 'unnormalized': False, 'no_early_stop': False, 'no_beamable_mm': False, 'lenpen': 1.0, 'unkpen': 0.0, 'replace_unk': None, 'sacrebleu': False, 'score_reference': False, 'prefix_size': 0, 'no_repeat_ngram_size': 0, 'sampling': False, 'sampling_topk': -1, 'sampling_topp': -1.0, 'constraints': None, 'temperature': 1.0, 'diverse_beam_groups': -1, 'diverse_beam_strength': 0.5, 'diversity_rate': -1.0, 'print_alignment': None, 'print_step': False, 'lm_path': None, 'lm_weight': 0.0, 'iter_decode_eos_penalty': 0.0, 'iter_decode_max_iter': 10, 'iter_decode_force_max_iter': False, 'iter_decode_with_beam': 1, 'iter_decode_with_external_reranker': False, 'retain_iter_history': False, 'retain_dropout': False, 'retain_dropout_modules': None, 'decoding_format': None, 'no_seed_provided': False, 'eos_token': None}, 'eval_lm': {'_name': None, 'output_word_probs': False, 'output_word_stats': False, 'context_window': 0, 'softmax_batch': 9223372036854775807}, 'interactive': {'_name': None, 'buffer_size': 0, 'input': '-'}, 'model': {'_name': 'wav2vec_ctc', 'w2v_path': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/checkpoints/pretraining/checkpoint_best.pt', 'no_pretrained_weights': False, 'dropout_input': 0.0, 'final_dropout': 0.0, 'dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.1, 'conv_feature_layers': '[(512, 10, 5)] + [(512, 3, 2)] * 4 + [(512,2,2)] + [(512,2,2)]', 'encoder_embed_dim': 768, 'apply_mask': True, 'mask_length': 10, 'mask_prob': 0.65, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'require_same_masks': True, 'mask_dropout': 0.0, 'mask_channel_length': 64, 'mask_channel_prob': 0.5, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'freeze_finetune_updates': 100, 'feature_grad_mult': 0.0, 'layerdrop': 0.05, 'mask_channel_min_space': 1, 'mask_channel_before': False, 'normalize': False, 'data': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning', 'w2v_args': None, 'offload_activations': False, 'min_params_to_wrap': 100000000, 'checkpoint_activations': False, 'ddp_backend': 'legacy_ddp', 'blank_weight': 0.0, 'blank_mode': 'add'}, 'task': {'_name': 'audio_pretraining', 'data': '/media/dilip/LaCie/Nitin/vakyansh-wav2vec2-experimentation/data/finetuning', 'labels': 'ltr', 'binarized_dataset': False, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_sample_size': None, 'min_sample_size': None, 'num_batch_buckets': 0, 'precompute_mask_indices': False, 'inferred_w2v_config': None, 'tpu': False, 'text_compression_level': none}, 'criterion': {'_name': 'ctc', 'zero_infinity': True, 'sentence_avg': True, 'post_process': 'letter', 'wer_kenlm_model': None, 'wer_lexicon': None, 'wer_lm_weight': 2.0, 'wer_word_score': -1.0, 'wer_args': None}, 'optimizer': {'_name': 'adam', 'adam_betas': '(0.9,0.98)', 'adam_eps': 1e-08, 'weight_decay': 0.0, 'use_old_adam': False, 'fp16_adam_stats': False, 'tpu': False, 'lr': [5e-05]}, 'lr_scheduler': {'_name': 'tri_stage', 'warmup_steps': 0, 'hold_steps': 0, 'decay_steps': 0, 'phase_ratio': [0.1, 0.4, 0.5], 'init_lr_scale': 0.01, 'final_lr_scale': 0.05, 'max_update': 20000.0, 'lr': [5e-05]}, 'scoring': None, 'bpe': None, 'tokenizer': None, 'ema': {'_name': None, 'store_ema': False, 'ema_decay': 0.9999, 'ema_start_update': 0, 'ema_seed_model': None, 'ema_update_freq': 1, 'ema_fp32': False}, 'job_logging_cfg': {'version': 1, 'formatters': {'simple': {'format': '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'}}, 'handlers': {'console': {'class': 'logging.StreamHandler', 'formatter': 'simple', 'stream': 'ext://sys.stdout'}, 'file': {'class': 'logging.FileHandler', 'formatter': 'simple', 'filename': 'hydra_train.log'}}, 'root': {'level': 'INFO', 'handlers': ['console', 'file']}, 'disable_existing_loggers': False}}
Traceback (most recent call last):
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/hydra_train.py", line 27, in hydra_main
_hydra_main(cfg)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/hydra_train.py", line 56, in _hydra_main
distributed_utils.call_main(cfg, pre_main, **kwargs)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/distributed/utils.py", line 369, in call_main
main(cfg, **kwargs)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq_cli/train.py", line 96, in main
model = task.build_model(cfg.model)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/tasks/audio_pretraining.py", line 197, in build_model
model = super().build_model(model_cfg, from_checkpoint)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/tasks/fairseq_task.py", line 338, in build_model
model = models.build_model(cfg, self, from_checkpoint)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/models/init.py", line 106, in build_model
return model.build_model(cfg, task)
File "/home/dilip/.local/lib/python3.8/site-packages/fairseq/models/wav2vec/wav2vec2_asr.py", line 208, in build_model
w2v_encoder = Wav2VecEncoder(cfg, len(task.target_dictionary))
TypeError: object of type 'NoneType' has no len()

[nitinyadav250]

sorry i typed it twice .can somebody help me out. i am getting this type error during the finetuning of wav2vec.