wandb: Currently logged in as: sanchit-gandhi (use `wandb login --relogin` to force relogin) wandb: wandb version 0.12.17 is available! To upgrade, please run: wandb: $ pip install wandb --upgrade wandb: Tracking run with wandb version 0.12.15 wandb: Run data is saved locally in /home/sanchitgandhi/flax-wav2vec2-2-bart-large-ls-960h-feature-encoder/wandb/run-20220530_175928-2nzi0chc wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run flax-wav2vec2-2-bart-large-ls-960h-feature-encoder wandb: ⭐️ View project at https://wandb.ai/sanchit-gandhi/librispeech_960h wandb: 🚀 View run at https://wandb.ai/sanchit-gandhi/librispeech_960h/runs/2nzi0chc 05/30/2022 17:59:29 - INFO - __main__ - Training/evaluation parameters FlaxSeq2SeqTrainingArguments( _n_gpu=-1, adafactor=False, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, bf16=False, bf16_full_eval=False, data_seed=None, dataloader_drop_last=False, dataloader_num_workers=0, dataloader_pin_memory=True, ddp_bucket_cap_mb=None, ddp_find_unused_parameters=None, debug=, deepspeed=None, disable_tqdm=None, do_eval=True, do_predict=True, do_train=True, eval_accumulation_steps=None, eval_delay=0, eval_steps=10000, evaluation_strategy=no, final_generation_max_length=200, final_generation_num_beams=5, fp16=False, fp16_backend=auto, fp16_full_eval=False, fp16_opt_level=O1, generation_length_penalty=1.2, generation_max_length=40, generation_num_beams=1, gradient_accumulation_steps=2, gradient_checkpointing=True, greater_is_better=None, group_by_length=False, half_precision_backend=auto, hub_model_id=None, hub_strategy=every_save, hub_token=, ignore_data_skip=False, label_names=None, label_smoothing_factor=0.0, learning_rate=0.0001, length_column_name=input_length, load_best_model_at_end=False, local_rank=-1, log_level=passive, log_level_replica=passive, log_on_each_node=True, logging_dir=None, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=25, logging_strategy=steps, lr_scheduler_type=linear, matmul_precision=default, max_grad_norm=1.0, max_steps=50000, metric_for_best_model=None, mp_parameters=, no_cuda=False, num_train_epochs=3.0, optim=adamw_hf, output_dir=./, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=4, per_device_train_batch_size=4, precision=full, predict_with_generate=True, prediction_loss_only=False, push_to_hub=True, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, remove_unused_columns=True, report_to=None, resume_from_checkpoint=None, run_name=None, save_on_each_node=False, save_steps=10000, save_strategy=steps, save_total_limit=1, seed=42, sharded_ddp=, skip_memory_metrics=True, sortish_sampler=False, tf32=None, tpu_metrics_debug=False, tpu_num_cores=None, use_legacy_prediction_loop=False, warmup_ratio=0.0, warmup_steps=500, weight_decay=0.0, xpu_backend=None, ) 05/30/2022 17:59:29 - INFO - __main__ - JAX devices: 8, matmul precision: default 05/30/2022 17:59:30 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb) 05/30/2022 17:59:30 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb) 05/30/2022 17:59:30 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb) 05/30/2022 17:59:31 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb) 05/30/2022 17:59:31 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb) loading configuration file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9 /home/sanchitgandhi/transformers/src/transformers/configuration_utils.py:358: UserWarning: Passing `gradient_checkpointing` to a config initialization is deprecated and will be removed in v5 Transformers. Using `model.gradient_checkpointing_enable()` instead, or if you are using the `Trainer` API, pass `gradient_checkpointing=True` in your `TrainingArguments`. warnings.warn( Model config SpeechEncoderDecoderConfig { "_name_or_path": "sanchit-gandhi/flax-wav2vec2-2-bart-large-scan", "architectures": [ "SpeechEncoderDecoderModel" ], "decoder": { "_name_or_path": "", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_cross_attention": true, "add_final_layer_norm": false, "architectures": [ "BartModel" ], "attention_dropout": 0.1, "bad_words_ids": null, "bos_token_id": 0, "chunk_size_feed_forward": 0, "classif_dropout": 0.1, "classifier_dropout": 0.0, "cross_attention_hidden_size": null, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0.0, "decoder_layers": 12, "decoder_start_token_id": 2, "diversity_penalty": 0.0, "do_sample": false, "dropout": 0.1, "early_stopping": true, "encoder_attention_heads": 16, "encoder_ffn_dim": 4096, "encoder_layerdrop": 0.0, "encoder_layers": 12, "encoder_no_repeat_ngram_size": 0, "eos_token_id": 2, "exponential_decay_length_penalty": null, "finetuning_task": null, "forced_bos_token_id": 0, "forced_eos_token_id": 2, "fuse_matmuls": false, "gradient_checkpointing": true, "id2label": { "0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2" }, "init_std": 0.02, "is_decoder": true, "is_encoder_decoder": false, "label2id": { "LABEL_0": 0, "LABEL_1": 1, "LABEL_2": 2 }, "length_penalty": 1.0, "max_length": 20, "max_position_embeddings": 1024, "min_length": 0, "model_type": "bart", "no_repeat_ngram_size": 3, "normalize_before": false, "num_beam_groups": 1, "num_beams": 4, "num_hidden_layers": 12, "num_return_sequences": 1, "output_attentions": false, "output_hidden_states": false, "output_scores": false, "pad_token_id": 1, "prefix": null, "problem_type": null, "pruned_heads": {}, "remove_invalid_values": false, "repetition_penalty": 1.0, "return_dict": true, "return_dict_in_generate": false, "scale_embedding": false, "sep_token_id": null, "task_specific_params": { "summarization": { "length_penalty": 1.0, "max_length": 128, "min_length": 12, "num_beams": 4 }, "summarization_cnn": { "length_penalty": 2.0, "max_length": 142, "min_length": 56, "num_beams": 4 }, "summarization_xsum": { "length_penalty": 1.0, "max_length": 62, "min_length": 11, "num_beams": 6 } }, "temperature": 1.0, "tie_encoder_decoder": false, "tie_word_embeddings": true, "tokenizer_class": null, "top_k": 50, "top_p": 1.0, "torch_dtype": "float32", "torchscript": false, "transformers_version": "4.18.0.dev0", "typical_p": 1.0, "use_bfloat16": false, "use_cache": true, "use_scan": true, "vocab_size": 50265 }, "decoder_start_token_id": 0, "encoder": { "_name_or_path": "", "activation_dropout": 0.1, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": true, "add_cross_attention": false, "apply_spec_augment": true, "architectures": [ "Wav2Vec2ForPreTraining" ], "attention_dropout": 0.1, "bad_words_ids": null, "bos_token_id": 1, "chunk_size_feed_forward": 0, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [ 512, 512, 512, 512, 512, 512, 512 ], "conv_kernel": [ 10, 3, 3, 3, 3, 2, 2 ], "conv_stride": [ 5, 2, 2, 2, 2, 2, 2 ], "cross_attention_hidden_size": null, "ctc_loss_reduction": "sum", "ctc_zero_infinity": false, "decoder_start_token_id": null, "diversity_loss_weight": 0.1, "diversity_penalty": 0.0, "do_sample": false, "do_stable_layer_norm": true, "early_stopping": false, "encoder_no_repeat_ngram_size": 0, "eos_token_id": 2, "exponential_decay_length_penalty": null, "feat_extract_activation": "gelu", "feat_extract_dropout": 0.0, "feat_extract_norm": "layer", "feat_proj_dropout": 0.0, "feat_quantizer_dropout": 0.0, "final_dropout": 0.0, "finetuning_task": null, "forced_bos_token_id": null, "forced_eos_token_id": null, "fuse_matmuls": false, "gradient_checkpointing": true, "hidden_act": "gelu", "hidden_dropout": 0.1, "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": { "0": "LABEL_0", "1": "LABEL_1" }, "initializer_range": 0.02, "intermediate_size": 4096, "is_decoder": false, "is_encoder_decoder": false, "label2id": { "LABEL_0": 0, "LABEL_1": 1 }, "layer_norm_eps": 1e-05, "layerdrop": 0.0, "length_penalty": 1.0, "mask_feature_length": 10, "mask_feature_min_masks": 0, "mask_feature_prob": 0.0, "mask_time_length": 10, "mask_time_min_masks": 2, "mask_time_prob": 0.1, "max_length": 20, "min_length": 0, "model_type": "wav2vec2", "no_repeat_ngram_size": 0, "num_adapter_layers": 3, "num_attention_heads": 16, "num_beam_groups": 1, "num_beams": 1, "num_codevector_groups": 2, "num_codevectors_per_group": 320, "num_conv_pos_embedding_groups": 16, "num_conv_pos_embeddings": 128, "num_feat_extract_layers": 7, "num_hidden_layers": 24, "num_negatives": 100, "num_return_sequences": 1, "output_attentions": false, "output_hidden_size": 1024, "output_hidden_states": false, "output_scores": false, "pad_token_id": 0, "prefix": null, "problem_type": null, "proj_codevector_dim": 768, "pruned_heads": {}, "remove_invalid_values": false, "repetition_penalty": 1.0, "return_dict": true, "return_dict_in_generate": false, "sep_token_id": null, "task_specific_params": null, "tdnn_dilation": [ 1, 2, 3, 1, 1 ], "tdnn_dim": [ 512, 512, 512, 512, 1500 ], "tdnn_kernel": [ 5, 3, 3, 1, 1 ], "temperature": 1.0, "tie_encoder_decoder": false, "tie_word_embeddings": true, "tokenizer_class": null, "top_k": 50, "top_p": 1.0, "torch_dtype": null, "torchscript": false, "transformers_version": "4.18.0.dev0", "typical_p": 1.0, "use_bfloat16": false, "use_scan": true, "use_weighted_layer_sum": false, "vocab_size": 32, "xvector_output_dim": 512 }, "eos_token_id": 2, "is_encoder_decoder": true, "max_length": 40, "model_type": "speech-encoder-decoder", "pad_token_id": 1, "processor_class": "Wav2Vec2Processor", "tie_word_embeddings": false, "transformers_version": null, "use_cache": false } loading feature extractor configuration file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/preprocessor_config.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/bc2232c616201c7d3d66ba3f6a7d1186306134838dfb19786149f0e16122787d.bbc1eb890a39c82e710a893223b8452ac5b78e8b57083b2f893aa7dc59d4ed69 Feature extractor Wav2Vec2FeatureExtractor { "do_normalize": true, "feature_extractor_type": "Wav2Vec2FeatureExtractor", "feature_size": 1, "padding_side": "right", "padding_value": 0.0, "return_attention_mask": true, "sampling_rate": 16000 } loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/vocab.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/86c0de13925d1534934e540ff4c9dd778f49761b4eaf59dae3335a4f6690a814.bfdcc444ff249bca1a95ca170ec350b442f81804d7df3a95a2252217574121d7 loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/merges.txt from cache at /home/sanchitgandhi/.cache/huggingface/transformers/7cf4fc91891684e1177d1c519689e4c310ebdec965e00d6e45134bb9227ab01b.f5b91da9e34259b8f4d88dbc97c740667a0e8430b96314460cdb04e86d4fc435 loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/tokenizer.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/c02f3f3009bfacaa24cfead1d0f7fbf4fc2fb5f8092f68703449f02aa3a28e03.393fa6a095aa312a3cce4d5263e471bd94ec0215e6c63448a6464d59ff900814 loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/added_tokens.json from cache at None loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/special_tokens_map.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/505d61b8f6e05764b5aec1483bfdd13a310681a5af54957263604323be3bbabf.a11ebb04664c067c8fe5ef8f8068b0f721263414a26058692f7b2e4ba2a1b342 loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/tokenizer_config.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/ff79c23164eac352d7f9651f3c3774a962ce80f81460d9e17d689235fa34ee80.0e8b2b497f91e23302894a5c1f19ced6334b0abd450a7bce75a67bf0f9ee5c54 loading weights file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/flax_model.msgpack from cache at /home/sanchitgandhi/.cache/huggingface/transformers/1279dc21f7dd9ed546f166e7e445e068b2672ddfa5386b2e3a3a973b8d668365.8e03496bb6919447aeb468483249e7b65dfb59c42989be9787af0aa6aa9b3f50 tcmalloc: large alloc 2353618944 bytes == 0xa2612000 @ 0x7fb1de660680 0x7fb1de681824 0x5f8a01 0x648cf1 0x5c4676 0x4f290e 0x64f718 0x5048b3 0x56b1da 0x56939a 0x50aaa0 0x56c28c 0x56939a 0x5f6a13 0x56b0ae 0x56939a 0x68d047 0x67e351 0x67e3cf 0x67e471 0x67e817 0x6b6fe2 0x6b736d 0x7fb1de4730b3 0x5fa5ce /home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement. warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() ' All model checkpoint weights were used when initializing FlaxSpeechEncoderDecoderModel. All the weights of FlaxSpeechEncoderDecoderModel were initialized from the model checkpoint at sanchit-gandhi/flax-wav2vec2-2-bart-large-scan. If your task is similar to the task the model of the checkpoint was trained on, you can already use FlaxSpeechEncoderDecoderModel for predictions without further training. 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-5bcd522a0f1116c8.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-148286b6e8c7c55a.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-6afe8daa3edc3979.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-fb71416814467da1.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-c4d90e72e7945373.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-1441a1a362f45f74.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-86716240f0d5e9ce.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-567649d38b4eb4b9.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-a0253d3135dc5a4b.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-90f3995b6106b9f2.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-c1105482a786c706.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-2c5d0ae89484568c.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-e43260f16a4667dc.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-d1485c81a0cbb06c.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-a791cf68d9739c69.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-94bc2d5136fdbae7.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-61413d2b04061247.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-5b531145a5727e3e.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-eef5cb2925240576.arrow 05/30/2022 18:00:06 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb/cache-dc7710d750f9cc97.arrow Feature extractor saved in ./preprocessor_config.json tokenizer config file saved in ./tokenizer_config.json Special tokens file saved in ./special_tokens_map.json Configuration saved in ./config.json loading feature extractor configuration file ./preprocessor_config.json loading configuration file ./config.json Model config SpeechEncoderDecoderConfig { "_name_or_path": "./", "architectures": [ "SpeechEncoderDecoderModel" ], "decoder": { "_name_or_path": "", "activation_dropout": 0.1, "activation_function": "gelu", "add_bias_logits": false, "add_cross_attention": true, "add_final_layer_norm": false, "architectures": [ "BartModel" ], "attention_dropout": 0.1, "bad_words_ids": null, "bos_token_id": 0, "chunk_size_feed_forward": 0, "classif_dropout": 0.1, "classifier_dropout": 0.0, "cross_attention_hidden_size": null, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0.0, "decoder_layers": 12, "decoder_start_token_id": 2, "diversity_penalty": 0.0, "do_sample": false, "dropout": 0.1, "early_stopping": true, "encoder_attention_heads": 16, "encoder_ffn_dim": 4096, "encoder_layerdrop": 0.0, "encoder_layers": 12, "encoder_no_repeat_ngram_size": 0, "eos_token_id": 2, "exponential_decay_length_penalty": null, "finetuning_task": null, "forced_bos_token_id": 0, "forced_eos_token_id": 2, "fuse_matmuls": false, "gradient_checkpointing": true, "id2label": { "0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2" }, "init_std": 0.02, "is_decoder": true, "is_encoder_decoder": false, "label2id": { "LABEL_0": 0, "LABEL_1": 1, "LABEL_2": 2 }, "length_penalty": 1.0, "max_length": 20, "max_position_embeddings": 1024, "min_length": 0, "model_type": "bart", "no_repeat_ngram_size": 3, "normalize_before": false, "num_beam_groups": 1, "num_beams": 4, "num_hidden_layers": 12, "num_return_sequences": 1, "output_attentions": false, "output_hidden_states": false, "output_scores": false, "pad_token_id": 1, "prefix": null, "problem_type": null, "pruned_heads": {}, "remove_invalid_values": false, "repetition_penalty": 1.0, "return_dict": true, "return_dict_in_generate": false, "scale_embedding": false, "sep_token_id": null, "task_specific_params": { "summarization": { "length_penalty": 1.0, "max_length": 128, "min_length": 12, "num_beams": 4 }, "summarization_cnn": { "length_penalty": 2.0, "max_length": 142, "min_length": 56, "num_beams": 4 }, "summarization_xsum": { "length_penalty": 1.0, "max_length": 62, "min_length": 11, "num_beams": 6 } }, "temperature": 1.0, "tie_encoder_decoder": false, "tie_word_embeddings": true, "tokenizer_class": null, "top_k": 50, "top_p": 1.0, "torch_dtype": "float32", "torchscript": false, "transformers_version": "4.18.0.dev0", "typical_p": 1.0, "use_bfloat16": false, "use_cache": true, "use_scan": true, "vocab_size": 50265 }, "decoder_start_token_id": 0, "encoder": { "_name_or_path": "", "activation_dropout": 0.1, "adapter_kernel_size": 3, "adapter_stride": 2, "add_adapter": true, "add_cross_attention": false, "apply_spec_augment": true, "architectures": [ "Wav2Vec2ForPreTraining" ], "attention_dropout": 0.1, "bad_words_ids": null, "bos_token_id": 1, "chunk_size_feed_forward": 0, "classifier_proj_size": 256, "codevector_dim": 768, "contrastive_logits_temperature": 0.1, "conv_bias": true, "conv_dim": [ 512, 512, 512, 512, 512, 512, 512 ], "conv_kernel": [ 10, 3, 3, 3, 3, 2, 2 ], "conv_stride": [ 5, 2, 2, 2, 2, 2, 2 ], "cross_attention_hidden_size": null, "ctc_loss_reduction": "sum", "ctc_zero_infinity": false, "decoder_start_token_id": null, "diversity_loss_weight": 0.1, "diversity_penalty": 0.0, "do_sample": false, "do_stable_layer_norm": true, "early_stopping": false, "encoder_no_repeat_ngram_size": 0, "eos_token_id": 2, "exponential_decay_length_penalty": null, "feat_extract_activation": "gelu", "feat_extract_dropout": 0.0, "feat_extract_norm": "layer", "feat_proj_dropout": 0.0, "feat_quantizer_dropout": 0.0, "final_dropout": 0.0, "finetuning_task": null, "forced_bos_token_id": null, "forced_eos_token_id": null, "fuse_matmuls": false, "gradient_checkpointing": true, "hidden_act": "gelu", "hidden_dropout": 0.1, "hidden_dropout_prob": 0.1, "hidden_size": 1024, "id2label": { "0": "LABEL_0", "1": "LABEL_1" }, "initializer_range": 0.02, "intermediate_size": 4096, "is_decoder": false, "is_encoder_decoder": false, "label2id": { "LABEL_0": 0, "LABEL_1": 1 }, "layer_norm_eps": 1e-05, "layerdrop": 0.0, "length_penalty": 1.0, "mask_feature_length": 10, "mask_feature_min_masks": 0, "mask_feature_prob": 0.0, "mask_time_length": 10, "mask_time_min_masks": 2, "mask_time_prob": 0.1, "max_length": 20, "min_length": 0, "model_type": "wav2vec2", "no_repeat_ngram_size": 0, "num_adapter_layers": 3, "num_attention_heads": 16, "num_beam_groups": 1, "num_beams": 1, "num_codevector_groups": 2, "num_codevectors_per_group": 320, "num_conv_pos_embedding_groups": 16, "num_conv_pos_embeddings": 128, "num_feat_extract_layers": 7, "num_hidden_layers": 24, "num_negatives": 100, "num_return_sequences": 1, "output_attentions": false, "output_hidden_size": 1024, "output_hidden_states": false, "output_scores": false, "pad_token_id": 0, "prefix": null, "problem_type": null, "proj_codevector_dim": 768, "pruned_heads": {}, "remove_invalid_values": false, "repetition_penalty": 1.0, "return_dict": true, "return_dict_in_generate": false, "sep_token_id": null, "task_specific_params": null, "tdnn_dilation": [ 1, 2, 3, 1, 1 ], "tdnn_dim": [ 512, 512, 512, 512, 1500 ], "tdnn_kernel": [ 5, 3, 3, 1, 1 ], "temperature": 1.0, "tie_encoder_decoder": false, "tie_word_embeddings": true, "tokenizer_class": null, "top_k": 50, "top_p": 1.0, "torch_dtype": null, "torchscript": false, "transformers_version": "4.18.0.dev0", "typical_p": 1.0, "use_bfloat16": false, "use_scan": true, "use_weighted_layer_sum": false, "vocab_size": 32, "xvector_output_dim": 512 }, "eos_token_id": 2, "is_encoder_decoder": true, "max_length": 40, "model_type": "speech-encoder-decoder", "pad_token_id": 1, "processor_class": "Wav2Vec2Processor", "tie_word_embeddings": false, "transformers_version": null, "use_cache": false } loading feature extractor configuration file ./preprocessor_config.json Feature extractor Wav2Vec2FeatureExtractor { "do_normalize": true, "feature_extractor_type": "Wav2Vec2FeatureExtractor", "feature_size": 1, "padding_side": "right", "padding_value": 0.0, "return_attention_mask": true, "sampling_rate": 16000 } Didn't find file ./added_tokens.json. We won't load it. loading file ./vocab.json loading file ./merges.txt loading file ./tokenizer.json loading file None loading file ./special_tokens_map.json loading file ./tokenizer_config.json 05/30/2022 18:00:07 - WARNING - __main__ - Unable to display metrics through TensorBoard because the package is not installed: Please run `pip install tensorboard` to enable. /home/sanchitgandhi/flax-wav2vec2-2-bart-large-ls-960h-feature-encoder/./ is already a clone of https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-ls-960h-feature-encoder. Make sure you pull the latest changes with `repo.git_pull()`. 05/30/2022 18:00:11 - WARNING - huggingface_hub.repository - /home/sanchitgandhi/flax-wav2vec2-2-bart-large-ls-960h-feature-encoder/./ is already a clone of https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-ls-960h-feature-encoder. Make sure you pull the latest changes with `repo.git_pull()`. 05/30/2022 18:00:14 - INFO - __main__ - ***** Running training ***** 05/30/2022 18:00:14 - INFO - __main__ - Num examples = 281186 05/30/2022 18:00:14 - INFO - __main__ - Num Epochs = 12 05/30/2022 18:00:14 - INFO - __main__ - Instantaneous batch size per device = 4 05/30/2022 18:00:14 - INFO - __main__ - Num gradient accumulation steps = 2 05/30/2022 18:00:14 - INFO - __main__ - Total train batch size (w. parallel & distributed) = 64 05/30/2022 18:00:14 - INFO - __main__ - Total optimization steps = 50000 05/30/2022 18:00:14 - INFO - __main__ - Gradient checkpointing: True 05/30/2022 18:00:14 - INFO - __main__ - Use scan: True 05/30/2022 18:00:14 - INFO - __main__ - Fuse matmuls: False Epoch ... (1/12): 0% 0/12 [00:00 main() File "run_flax_speech_recognition_seq2seq.py", line 1400, in main state, train_metric = p_train_step(state, batch) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 162, in reraise_with_filtered_traceback return fun(*args, **kwargs) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/api.py", line 2013, in cache_miss out_tree, out_flat = f_pmapped_(*args, **kwargs) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/api.py", line 1889, in pmap_f out = pxla.xla_pmap( File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/core.py", line 1863, in bind return map_bind(self, fun, *args, **params) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/core.py", line 1895, in map_bind outs = primitive.process(top_trace, fun, tracers, params) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/core.py", line 1866, in process return trace.process_map(self, fun, tracers, params) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/core.py", line 660, in process_call return primitive.impl(f, *tracers, **params) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 801, in xla_pmap_impl compiled_fun, fingerprint = parallel_callable( File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/linear_util.py", line 285, in memoized_fun ans = call(fun, *args) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 829, in parallel_callable pmap_computation = lower_parallel_callable( File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/profiler.py", line 206, in wrapper return func(*args, **kwargs) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1002, in lower_parallel_callable jaxpr, consts, replicas, parts, shards = stage_parallel_callable( File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 909, in stage_parallel_callable jaxpr, out_sharded_avals, consts = pe.trace_to_jaxpr_final( File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/profiler.py", line 206, in wrapper return func(*args, **kwargs) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 1844, in trace_to_jaxpr_final jaxpr, out_avals, consts = trace_to_subjaxpr_dynamic( File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 1816, in trace_to_subjaxpr_dynamic ans = fun.call_wrapped(*in_tracers_) File "/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/linear_util.py", line 168, in call_wrapped ans = self.f(*args, **dict(self.params, **kwargs)) File "run_flax_speech_recognition_seq2seq.py", line 1174, in train_step if gradient_accumulation_steps == 1 or training_args.multisteps: jax._src.traceback_util.UnfilteredStackTrace: AttributeError: 'FlaxSeq2SeqTrainingArguments' object has no attribute 'multisteps' The stack trace below excludes JAX-internal frames. The preceding is the original exception that occurred, unmodified. -------------------- The above exception was the direct cause of the following exception: Traceback (most recent call last): File "run_flax_speech_recognition_seq2seq.py", line 1507, in main() File "run_flax_speech_recognition_seq2seq.py", line 1400, in main state, train_metric = p_train_step(state, batch) File "run_flax_speech_recognition_seq2seq.py", line 1174, in train_step if gradient_accumulation_steps == 1 or training_args.multisteps: AttributeError: 'FlaxSeq2SeqTrainingArguments' object has no attribute 'multisteps' wandb: Waiting for W&B process to finish... (failed 1). Press Control-C to abort syncing. wandb: - 0.002 MB of 0.002 MB uploaded (0.000 MB deduped) wandb: \ 0.002 MB of 0.002 MB uploaded (0.000 MB deduped) wandb: | 0.002 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: / 0.002 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: - 0.034 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: \ 0.034 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: | 0.034 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: / 0.034 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: - 0.034 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: \ 0.034 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: | 0.034 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: / 0.034 MB of 0.034 MB uploaded (0.000 MB deduped) wandb: wandb: Synced flax-wav2vec2-2-bart-large-ls-960h-feature-encoder: https://wandb.ai/sanchit-gandhi/librispeech_960h/runs/2nzi0chc wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) wandb: Find logs at: ./wandb/run-20220530_175928-2nzi0chc/logs