Sentiment Analysis baseline

[pushkalkatara]

Hi,

I wanted to reproduce the sentiment analysis baseline through

bash baselines/sentiment/e2e_scripts/ft-w2v2-base-senti.sh manifest/slue-voxceleb save/sentiment/w2v2-base

Fairseq Config log:

[2022-02-14 01:39:15,687][fairseq_cli.train][INFO] - {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 100, 'log_format': 'json', 'log_fil[37/1798]
 'tensorboard_logdir': 'save/sentiment/w2v2-base/tb_logs', 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_b
f16': 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_c$
nvert_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': $
/root/pushkal/slue-toolkit/slue_toolkit/fairseq_addon', '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': 'c10d', 'ddp_comm_hook': '$
one', 'bucket_cap_mb': 25, 'fix_batches_to_gpus': False, 'find_unused_parameters': True, 'gradient_as_bucket_view': False, 'fast_stat_sync': False, 'heartbeat_timeout': -1, 'broadc$
st_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_devi$
es': None, 'pipeline_checkpoint': 'never', 'zero_sharding': 'none', 'fp16': True, 'memory_efficient_fp16': False, 'tpu': False, 'no_reshard_after_forward': False, 'fp32_reduce_scat$
er': False, 'cpu_offload': False, 'use_sharded_state': False, 'not_fsdp_flatten_parameters': False}, 'dataset': {'_name': None, 'num_workers': 0, 'skip_invalid_size_inputs_valid_te$
t': False, 'max_tokens': 1400000, 'batch_size': None, 'required_batch_size_multiple': 8, 'required_seq_len_multiple': 1, 'dataset_impl': None, 'data_buffer_size': 10, 'train_subset$
: 'fine-tune', 'valid_subset': 'dev', 'combine_valid_subsets': None, 'ignore_unused_valid_subsets': False, 'validate_interval': 1000000, 'validate_interval_updates': 0, 'validate_a$
ter_updates': 2000, 'fixed_validation_seed': None, 'disable_validation': False, 'max_tokens_valid': 1400000, 'batch_size_valid': None, 'max_valid_steps': None, 'curriculum': 0, 'ge$
_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': 50000, 'stop_time_hours': 0.0, 'clip_norm': 0.0, 'sentence_avg': True, 'update_freq': [1], 'lr': [2e-05], 'stop_min_lr': -1.0, 'use_bmuf': False, 'sk$
p_remainder_batch': False}, 'checkpoint': {'_name': None, 'save_dir': 'checkpoints', 'restore_file': 'checkpoint_last.pt', 'continue_once': None, 'finetune_from_model': None, 'rese$
_dataloader': False, 'reset_lr_scheduler': False, 'reset_meters': False, 'reset_optimizer': False, 'optimizer_overrides': '{}', 'save_interval': 50, 'save_interval_updates': 1000, $
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_checkp$
ints': False, 'no_save_optimizer_state': False, 'best_checkpoint_metric': 'macro_f1', 'maximize_best_checkpoint_metric': True, 'patience': -1, 'checkpoint_suffix': '', 'checkpoint_$
hard_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_mome$
tum': 0.875, 'global_sync_iter': 50, 'warmup_iterations': 500, 'use_nbm': False, 'average_sync': False, 'distributed_world_size': 1}, 'generation': {'_name': None, 'beam': 5, 'nbes$
': 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, '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, '$
onstraints': 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': Non$
, '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}, 'eval_lm': {'_name': None, 'out$
ut_word_probs': False, 'output_word_stats': False, 'context_window': 0, 'softmax_batch': 9223372036854775807}, 'interactive': {'_name': None, 'buffer_size': 0, 'input': '-'}, 'mode$
': {'_name': 'wav2vec2_seq_cls', 'w2v_path': '/root/pushkal/slue-toolkit/save/pretrained/wav2vec_small.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, 'mask_channel_length': 6$
, 'mask_channel_prob': 0.5, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'freeze_finetune_updates': 2000, 'feature_grad_mult': 0.0$
 'layerdrop': 0.1, 'mask_channel_min_space': 1, 'mask_channel_before': False, 'normalize': '${task.normalize}', 'data': '${task.data}', 'w2v_args': None, 'pool_method': 'self_attn'$
 'classifier_dropout': 0.2}, 'task': {'_name': 'slue_audio_classification', 'data': '/root/pushkal/slue-toolkit/manifest/slue-voxceleb', 'labels': 'sent', 'binarized_dataset': Fals$
, 'sample_rate': 16000, 'normalize': False, 'enable_padding': False, 'max_sample_size': None, 'min_sample_size': None, 'num_batch_buckets': 0, 'precompute_mask_indices': False, 'in$
erred_w2v_config': None, 'tpu': '${common.tpu}', 'text_compression_level': none, 'label_dir': '???'}, 'criterion': {'_name': 'slue_sequence_classification'}, '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': [2e-05]}, 'lr_scheduler': {'_name':
'tri_stage', 'warmup_steps': 0, 'hold_steps': 0, 'decay_steps': 0, 'phase_ratio': [0.1, 0.0, 0.9], 'init_lr_scale': 0.01, 'final_lr_scale': 0.05, 'max_update': 50000.0, 'lr': [2e-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': {'cl
ass': '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}}

But facing this error:

Traceback (most recent call last):
  File "/root/miniconda3/envs/slue/bin/fairseq-hydra-train", line 33, in <module>
    sys.exit(load_entry_point('fairseq', 'console_scripts', 'fairseq-hydra-train')())
  File "/root/pushkal/slue-toolkit/deps/fairseq/fairseq_cli/hydra_train.py", line 87, in cli_main
    hydra_main()
  File "/root/miniconda3/envs/slue/lib/python3.8/site-packages/hydra/main.py", line 32, in decorated_main
    _run_hydra(
  File "/root/miniconda3/envs/slue/lib/python3.8/site-packages/hydra/_internal/utils.py", line 346, in _run_hydra
    run_and_report(
  File "/root/miniconda3/envs/slue/lib/python3.8/site-packages/hydra/_internal/utils.py", line 201, in run_and_report
    raise ex
  File "/root/miniconda3/envs/slue/lib/python3.8/site-packages/hydra/_internal/utils.py", line 198, in run_and_report
    return func()
  File "/root/miniconda3/envs/slue/lib/python3.8/site-packages/hydra/_internal/utils.py", line 347, in <lambda>
    lambda: hydra.run(
  File "/root/miniconda3/envs/slue/lib/python3.8/site-packages/hydra/_internal/hydra.py", line 107, in run
    return run_job(
  File "/root/miniconda3/envs/slue/lib/python3.8/site-packages/hydra/core/utils.py", line 129, in run_job
    ret.return_value = task_function(task_cfg)
  File "/root/pushkal/slue-toolkit/deps/fairseq/fairseq_cli/hydra_train.py", line 27, in hydra_main
    _hydra_main(cfg)
  File "/root/pushkal/slue-toolkit/deps/fairseq/fairseq_cli/hydra_train.py", line 56, in _hydra_main
    distributed_utils.call_main(cfg, pre_main, **kwargs)
  File "/root/pushkal/slue-toolkit/deps/fairseq/fairseq/distributed/utils.py", line 369, in call_main
    main(cfg, **kwargs)
  File "/root/pushkal/slue-toolkit/deps/fairseq/fairseq_cli/train.py", line 97, in main
    criterion = task.build_criterion(cfg.criterion)
  File "/root/pushkal/slue-toolkit/deps/fairseq/fairseq/tasks/fairseq_task.py", line 352, in build_criterion
    return criterions.build_criterion(cfg, self)
  File "/root/pushkal/slue-toolkit/deps/fairseq/fairseq/criterions/__init__.py", line 29, in build_criterion
    return build_criterion_(cfg, task)
  File "/root/pushkal/slue-toolkit/deps/fairseq/fairseq/registry.py", line 55, in build_x
    cls = REGISTRY[choice]
KeyError: 'slue_sequence_classification'

[sshon-asapp]

Hi.

Did you follow the installation here? https://github.com/asappresearch/slue-toolkit#installation

[pushkalkatara]

Hi @sshon-asapp , yes I followed the installation instructions. I guess fairseq is missing as a dependency. I installed fairseq-main and faced this issue. do i need to use a specific fairseq commit rather than master branch?

[sshon-asapp]

fairseq is dependency of slue-toolkit and you will need slue-toolkit library installation as well.

Fairseq doesn't have this sequence level criteria, so we defined as below.

https://github.com/asappresearch/slue-toolkit/blob/b57a23ea505d24dc03e44e351e5a06a3febc173c/slue_toolkit/fairseq_addon/criterions/sequence_classification_criterion.py#L32

[pushkalkatara]

Yes, but i guess in slue-toolkit installation, fairseq is missing as a dependency.

when i follow the installation instructions, i get this error while running the baseline.

Traceback (most recent call last):
  File "/root/miniconda3/envs/slue/bin/fairseq-hydra-train", line 33, in <module>
    sys.exit(load_entry_point('fairseq', 'console_scripts', 'fairseq-hydra-train')())
  File "/root/miniconda3/envs/slue/bin/fairseq-hydra-train", line 22, in importlib_load_entry_point
    for entry_point in distribution(dist_name).entry_points
  File "/root/miniconda3/envs/slue/lib/python3.8/importlib/metadata.py", line 503, in distribution
    return Distribution.from_name(distribution_name)
  File "/root/miniconda3/envs/slue/lib/python3.8/importlib/metadata.py", line 177, in from_name
    raise PackageNotFoundError(name)
importlib.metadata.PackageNotFoundError: fairseq

So i installed fairseq but came up with the issue above.

[sshon-asapp]

seems fairseq is not properly installed. Can you try to remove fairseq and re-install?

[pushkalkatara]

@sshon-asapp , it was related to fairseq addon structuring. made a PR to fix it and now it works for me.

[sshon-asapp]

Resolved by #13