Commit
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4f0ee1a
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Parent(s):
70a51c6
up
Browse files- nohup.out +0 -0
- wandb/debug-internal.log +1 -0
- wandb/debug.log +1 -0
- wandb/latest-run +1 -0
- wandb/run-20220530_120145-2k01y1ky/files/config.yaml +38 -0
- wandb/run-20220530_120145-2k01y1ky/files/output.log +560 -0
- wandb/run-20220530_120145-2k01y1ky/files/requirements.txt +159 -0
- wandb/run-20220530_120145-2k01y1ky/files/wandb-metadata.json +62 -0
- wandb/run-20220530_120145-2k01y1ky/files/wandb-summary.json +1 -0
- wandb/run-20220530_120145-2k01y1ky/logs/debug-internal.log +369 -0
- wandb/run-20220530_120145-2k01y1ky/logs/debug.log +139 -0
- wandb/run-20220530_120145-2k01y1ky/run-2k01y1ky.wandb +0 -0
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run-20220530_120145-2k01y1ky/logs/debug-internal.log
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run-20220530_120145-2k01y1ky/logs/debug.log
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run-20220530_120145-2k01y1ky
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wandb/run-20220530_120145-2k01y1ky/files/config.yaml
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wandb_version: 1
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desc: null
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value:
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cli_version: 0.12.15
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framework: huggingface
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huggingface_version: 4.18.0.dev0
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is_jupyter_run: false
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is_kaggle_kernel: false
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python_version: 3.8.10
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start_time: 1653912105
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wandb/run-20220530_120145-2k01y1ky/files/output.log
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05/30/2022 12:01:47 - INFO - __main__ - Training/evaluation parameters FlaxSeq2SeqTrainingArguments(
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_n_gpu=-1,
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adafactor=False,
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adam_beta1=0.9,
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adam_beta2=0.999,
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adam_epsilon=1e-08,
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bf16=False,
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bf16_full_eval=False,
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data_seed=None,
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dataloader_drop_last=False,
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dataloader_num_workers=0,
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dataloader_pin_memory=True,
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ddp_bucket_cap_mb=None,
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ddp_find_unused_parameters=None,
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debug=,
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deepspeed=None,
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disable_tqdm=None,
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do_eval=True,
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do_predict=True,
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do_train=True,
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eval_accumulation_steps=None,
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eval_delay=0,
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eval_steps=10000,
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evaluation_strategy=no,
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final_generation_max_length=200,
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final_generation_num_beams=5,
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fp16=False,
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fp16_backend=auto,
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fp16_full_eval=False,
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fp16_opt_level=O1,
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generation_length_penalty=1.2,
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generation_max_length=40,
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generation_num_beams=1,
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gradient_accumulation_steps=1,
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gradient_checkpointing=True,
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greater_is_better=None,
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group_by_length=False,
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half_precision_backend=auto,
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hub_model_id=None,
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hub_strategy=every_save,
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hub_token=<HUB_TOKEN>,
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ignore_data_skip=False,
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label_names=None,
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label_smoothing_factor=0.0,
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learning_rate=0.0001,
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length_column_name=input_length,
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load_best_model_at_end=False,
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local_rank=-1,
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log_level=passive,
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log_level_replica=passive,
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log_on_each_node=True,
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logging_dir=None,
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logging_first_step=False,
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logging_nan_inf_filter=True,
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logging_steps=25,
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logging_strategy=steps,
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lr_scheduler_type=linear,
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matmul_precision=default,
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max_grad_norm=1.0,
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max_steps=50000,
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metric_for_best_model=None,
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mp_parameters=,
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no_cuda=False,
|
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num_train_epochs=3.0,
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optim=adamw_hf,
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output_dir=./,
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overwrite_output_dir=True,
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past_index=-1,
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per_device_eval_batch_size=4,
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per_device_train_batch_size=8,
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precision=full,
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predict_with_generate=True,
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prediction_loss_only=False,
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push_to_hub=True,
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push_to_hub_model_id=None,
|
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push_to_hub_organization=None,
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push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
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remove_unused_columns=True,
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report_to=None,
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resume_from_checkpoint=None,
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run_name=None,
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save_on_each_node=False,
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save_steps=10000,
|
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save_strategy=steps,
|
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save_total_limit=1,
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seed=42,
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sharded_ddp=,
|
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skip_memory_metrics=True,
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sortish_sampler=False,
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tf32=None,
|
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tpu_metrics_debug=False,
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tpu_num_cores=None,
|
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use_legacy_prediction_loop=False,
|
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warmup_ratio=0.0,
|
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warmup_steps=500,
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weight_decay=0.0,
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xpu_backend=None,
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)
|
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05/30/2022 12:01:47 - INFO - __main__ - JAX devices: 8, matmul precision: default
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05/30/2022 12:01:47 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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+
05/30/2022 12:01:49 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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+
05/30/2022 12:01:50 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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+
05/30/2022 12:01:50 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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+
05/30/2022 12:01:51 - WARNING - datasets.builder - Reusing dataset librispeech_asr (/home/sanchitgandhi/cache/huggingface/datasets/librispeech_asr/all/2.1.0/14c8bffddb861b4b3a4fcdff648a56980dbb808f3fc56f5a3d56b18ee88458eb)
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+
https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json not found in cache or force_download set to True, downloading to /home/sanchitgandhi/.cache/huggingface/transformers/tmp2_f644vh
|
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+
Downloading: 100% 6.84k/6.84k [00:00<00:00, 10.2MB/s]
|
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+
storing https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json in cache at /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9
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+
creating metadata file for /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9
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+
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
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+
/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`.
|
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+
warnings.warn(
|
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Model config SpeechEncoderDecoderConfig {
|
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+
"_name_or_path": "sanchit-gandhi/flax-wav2vec2-2-bart-large-scan",
|
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"architectures": [
|
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"SpeechEncoderDecoderModel"
|
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],
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"decoder": {
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"_name_or_path": "",
|
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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"add_cross_attention": true,
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"add_final_layer_norm": false,
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"architectures": [
|
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"BartModel"
|
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],
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"attention_dropout": 0.1,
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"fuse_matmuls": false,
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"gradient_checkpointing": true,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_decoder": true,
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"LABEL_2": 2
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},
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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 1024,
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"min_length": 0,
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"model_type": "bart",
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"no_repeat_ngram_size": 3,
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"normalize_before": false,
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},
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},
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"summarization_xsum": {
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"max_length": 62,
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"min_length": 11,
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"num_beams": 6
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}
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},
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"temperature": 1.0,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
|
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"top_p": 1.0,
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"torch_dtype": "float32",
|
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"torchscript": false,
|
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"transformers_version": "4.18.0.dev0",
|
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"typical_p": 1.0,
|
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"use_bfloat16": false,
|
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"use_cache": true,
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"use_scan": true,
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"vocab_size": 50265
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},
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"decoder_start_token_id": 0,
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"encoder": {
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"_name_or_path": "",
|
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"activation_dropout": 0.1,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": true,
|
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"add_cross_attention": false,
|
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"apply_spec_augment": true,
|
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"architectures": [
|
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"Wav2Vec2ForPreTraining"
|
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],
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"attention_dropout": 0.1,
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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"conv_dim": [
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512,
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],
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"conv_kernel": [
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],
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"conv_stride": [
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"1": "LABEL_1"
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},
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"intermediate_size": 4096,
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},
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"tdnn_dilation": [
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},
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"pad_token_id": 1,
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"processor_class": "Wav2Vec2Processor",
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"use_cache": false
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}
|
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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
|
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Feature extractor Wav2Vec2FeatureExtractor {
|
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"do_normalize": true,
|
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
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"feature_size": 1,
|
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"padding_side": "right",
|
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"padding_value": 0.0,
|
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"return_attention_mask": true,
|
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"sampling_rate": 16000
|
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}
|
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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
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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
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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
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loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/added_tokens.json from cache at None
|
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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
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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
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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
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tcmalloc: large alloc 2353618944 bytes == 0xa38a8000 @ 0x7f47ee716680 0x7f47ee737824 0x5f8a01 0x648cf1 0x5c4676 0x4f290e 0x64f718 0x5048b3 0x56b1da 0x56939a 0x50aaa0 0x56c28c 0x56939a 0x5f6a13 0x56b0ae 0x56939a 0x68d047 0x67e351 0x67e3cf 0x67e471 0x67e817 0x6b6fe2 0x6b736d 0x7f47ee5290b3 0x5fa5ce
|
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/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.
|
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warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
|
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All model checkpoint weights were used when initializing FlaxSpeechEncoderDecoderModel.
|
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All the weights of FlaxSpeechEncoderDecoderModel were initialized from the model checkpoint at sanchit-gandhi/flax-wav2vec2-2-bart-large-scan.
|
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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.
|
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100% 282/282 [00:00<00:00, 413.62ba/s]
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|
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|
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|
560 |
+
preprocess train dataset: 11% 31999/281241 [07:44<1:00:15, 68.94ex/s]
|
wandb/run-20220530_120145-2k01y1ky/files/requirements.txt
ADDED
@@ -0,0 +1,159 @@
|
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|
|
1 |
+
absl-py==1.0.0
|
2 |
+
aiohttp==3.8.1
|
3 |
+
aiosignal==1.2.0
|
4 |
+
anyio==3.5.0
|
5 |
+
appdirs==1.4.4
|
6 |
+
argon2-cffi-bindings==21.2.0
|
7 |
+
argon2-cffi==21.3.0
|
8 |
+
asttokens==2.0.5
|
9 |
+
async-timeout==4.0.2
|
10 |
+
attrs==21.4.0
|
11 |
+
audioread==2.1.9
|
12 |
+
babel==2.10.1
|
13 |
+
backcall==0.2.0
|
14 |
+
beautifulsoup4==4.11.1
|
15 |
+
bleach==5.0.0
|
16 |
+
certifi==2021.10.8
|
17 |
+
cffi==1.15.0
|
18 |
+
charset-normalizer==2.0.12
|
19 |
+
chex==0.1.3
|
20 |
+
click==8.1.2
|
21 |
+
cycler==0.11.0
|
22 |
+
datasets==2.1.1.dev0
|
23 |
+
debugpy==1.6.0
|
24 |
+
decorator==5.1.1
|
25 |
+
defusedxml==0.7.1
|
26 |
+
dill==0.3.4
|
27 |
+
dm-tree==0.1.7
|
28 |
+
docker-pycreds==0.4.0
|
29 |
+
entrypoints==0.4
|
30 |
+
executing==0.8.3
|
31 |
+
fastjsonschema==2.15.3
|
32 |
+
filelock==3.6.0
|
33 |
+
flatbuffers==2.0
|
34 |
+
flax==0.4.1
|
35 |
+
fonttools==4.33.3
|
36 |
+
frozenlist==1.3.0
|
37 |
+
fsspec==2022.3.0
|
38 |
+
gitdb==4.0.9
|
39 |
+
gitpython==3.1.27
|
40 |
+
huggingface-hub==0.5.1
|
41 |
+
hypothesis==6.46.7
|
42 |
+
idna==3.3
|
43 |
+
ijson==3.1.4
|
44 |
+
importlib-metadata==4.11.3
|
45 |
+
importlib-resources==5.7.1
|
46 |
+
ipdb==0.13.9
|
47 |
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ipykernel==6.13.0
|
48 |
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ipython-genutils==0.2.0
|
49 |
+
ipython==8.2.0
|
50 |
+
jax==0.3.7
|
51 |
+
jaxlib==0.3.7
|
52 |
+
jedi==0.18.1
|
53 |
+
jinja2==3.1.2
|
54 |
+
jiwer==2.3.0
|
55 |
+
joblib==1.1.0
|
56 |
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json5==0.9.8
|
57 |
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jsonschema==4.5.1
|
58 |
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jupyter-client==7.3.1
|
59 |
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jupyter-core==4.10.0
|
60 |
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jupyter-server==1.17.0
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61 |
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jupyterlab-pygments==0.2.2
|
62 |
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jupyterlab-server==2.13.0
|
63 |
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jupyterlab==3.4.1
|
64 |
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kenlm==0.0.0
|
65 |
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kiwisolver==1.4.2
|
66 |
+
librosa==0.9.1
|
67 |
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libtpu-nightly==0.1.dev20220415
|
68 |
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llvmlite==0.38.0
|
69 |
+
markupsafe==2.1.1
|
70 |
+
matplotlib-inline==0.1.3
|
71 |
+
matplotlib==3.5.1
|
72 |
+
mistune==0.8.4
|
73 |
+
msgpack==1.0.3
|
74 |
+
multidict==6.0.2
|
75 |
+
multiprocess==0.70.12.2
|
76 |
+
nbclassic==0.3.7
|
77 |
+
nbclient==0.6.3
|
78 |
+
nbconvert==6.5.0
|
79 |
+
nbformat==5.4.0
|
80 |
+
nest-asyncio==1.5.5
|
81 |
+
notebook-shim==0.1.0
|
82 |
+
notebook==6.4.11
|
83 |
+
numba==0.55.1
|
84 |
+
numpy==1.21.0
|
85 |
+
opt-einsum==3.3.0
|
86 |
+
optax==0.1.2
|
87 |
+
packaging==21.3
|
88 |
+
pandas==1.4.2
|
89 |
+
pandocfilters==1.5.0
|
90 |
+
parso==0.8.3
|
91 |
+
pathtools==0.1.2
|
92 |
+
pexpect==4.8.0
|
93 |
+
pickleshare==0.7.5
|
94 |
+
pillow==9.1.0
|
95 |
+
pip==20.0.2
|
96 |
+
pkg-resources==0.0.0
|
97 |
+
pooch==1.6.0
|
98 |
+
prometheus-client==0.14.1
|
99 |
+
promise==2.3
|
100 |
+
prompt-toolkit==3.0.29
|
101 |
+
protobuf==3.20.1
|
102 |
+
psutil==5.9.0
|
103 |
+
ptyprocess==0.7.0
|
104 |
+
pure-eval==0.2.2
|
105 |
+
pyarrow==7.0.0
|
106 |
+
pycparser==2.21
|
107 |
+
pycryptodome==3.14.1
|
108 |
+
pyctcdecode==0.3.0
|
109 |
+
pygments==2.12.0
|
110 |
+
pygtrie==2.4.2
|
111 |
+
pyparsing==3.0.8
|
112 |
+
pyrsistent==0.18.1
|
113 |
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python-dateutil==2.8.2
|
114 |
+
python-levenshtein==0.12.2
|
115 |
+
pytz==2022.1
|
116 |
+
pyyaml==6.0
|
117 |
+
pyzmq==22.3.0
|
118 |
+
regex==2022.4.24
|
119 |
+
requests==2.27.1
|
120 |
+
resampy==0.2.2
|
121 |
+
responses==0.18.0
|
122 |
+
sacremoses==0.0.49
|
123 |
+
scikit-learn==1.0.2
|
124 |
+
scipy==1.8.0
|
125 |
+
send2trash==1.8.0
|
126 |
+
sentry-sdk==1.5.10
|
127 |
+
setproctitle==1.2.3
|
128 |
+
setuptools==44.0.0
|
129 |
+
shortuuid==1.0.8
|
130 |
+
six==1.16.0
|
131 |
+
smmap==5.0.0
|
132 |
+
sniffio==1.2.0
|
133 |
+
sortedcontainers==2.4.0
|
134 |
+
soundfile==0.10.3.post1
|
135 |
+
soupsieve==2.3.2.post1
|
136 |
+
speechcolab==0.0.6a0
|
137 |
+
stack-data==0.2.0
|
138 |
+
terminado==0.13.3
|
139 |
+
threadpoolctl==3.1.0
|
140 |
+
tinycss2==1.1.1
|
141 |
+
tokenizers==0.12.1
|
142 |
+
toml==0.10.2
|
143 |
+
toolz==0.11.2
|
144 |
+
torch==1.11.0+cpu
|
145 |
+
torchaudio==0.11.0+cpu
|
146 |
+
tornado==6.1
|
147 |
+
tqdm==4.64.0
|
148 |
+
traitlets==5.1.1
|
149 |
+
transformers==4.18.0.dev0
|
150 |
+
typing-extensions==4.2.0
|
151 |
+
urllib3==1.26.9
|
152 |
+
wandb==0.12.15
|
153 |
+
wcwidth==0.2.5
|
154 |
+
webencodings==0.5.1
|
155 |
+
websocket-client==1.3.2
|
156 |
+
wheel==0.37.1
|
157 |
+
xxhash==3.0.0
|
158 |
+
yarl==1.7.2
|
159 |
+
zipp==3.8.0
|
wandb/run-20220530_120145-2k01y1ky/files/wandb-metadata.json
ADDED
@@ -0,0 +1,62 @@
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"os": "Linux-5.11.0-1028-gcp-x86_64-with-glibc2.29",
|
3 |
+
"python": "3.8.10",
|
4 |
+
"heartbeatAt": "2022-05-30T12:01:46.976287",
|
5 |
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"startedAt": "2022-05-30T12:01:45.819658",
|
6 |
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"docker": null,
|
7 |
+
"cpu_count": 96,
|
8 |
+
"cuda": null,
|
9 |
+
"args": [
|
10 |
+
"--dataset_name=librispeech_asr",
|
11 |
+
"--model_name_or_path=sanchit-gandhi/flax-wav2vec2-2-bart-large-scan",
|
12 |
+
"--dataset_config_name=all",
|
13 |
+
"--train_split_name=train.clean.100+train.clean.360+train.other.500",
|
14 |
+
"--eval_split_name=validation.clean",
|
15 |
+
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|
16 |
+
"--dataset_cache_dir=/home/sanchitgandhi/cache/huggingface/datasets",
|
17 |
+
"--output_dir=./",
|
18 |
+
"--preprocessing_num_workers=1",
|
19 |
+
"--length_column_name=input_length",
|
20 |
+
"--overwrite_output_dir",
|
21 |
+
"--per_device_train_batch_size=8",
|
22 |
+
"--per_device_eval_batch_size=4",
|
23 |
+
"--logging_steps=25",
|
24 |
+
"--max_steps=50000",
|
25 |
+
"--eval_steps=10000",
|
26 |
+
"--save_steps=10000",
|
27 |
+
"--gradient_checkpointing",
|
28 |
+
"--max_duration_in_seconds=20",
|
29 |
+
"--max_target_length=128",
|
30 |
+
"--generation_max_length=40",
|
31 |
+
"--generation_num_beams=1",
|
32 |
+
"--generation_length_penalty=1.2",
|
33 |
+
"--final_generation_max_length=200",
|
34 |
+
"--final_generation_num_beams=5",
|
35 |
+
"--learning_rate=1e-4",
|
36 |
+
"--warmup_steps=500",
|
37 |
+
"--text_column_name=text",
|
38 |
+
"--save_total_limit=1",
|
39 |
+
"--freeze_feature_encoder=False",
|
40 |
+
"--predict_with_generate",
|
41 |
+
"--do_lower_case",
|
42 |
+
"--do_eval",
|
43 |
+
"--do_train",
|
44 |
+
"--do_predict",
|
45 |
+
"--push_to_hub",
|
46 |
+
"--use_auth_token",
|
47 |
+
"--wandb_project=librispeech_960h",
|
48 |
+
"--wandb_name=flax-wav2vec2-2-bart-large-ls-960h-feature-encoder"
|
49 |
+
],
|
50 |
+
"state": "running",
|
51 |
+
"program": "run_flax_speech_recognition_seq2seq.py",
|
52 |
+
"codePath": "run_flax_speech_recognition_seq2seq.py",
|
53 |
+
"git": {
|
54 |
+
"remote": "https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-ls-960h-feature-encoder",
|
55 |
+
"commit": "70a51c6ed0f374cbfa7ba53612d66d25dbc2e89d"
|
56 |
+
},
|
57 |
+
"email": "sanchit@huggingface.co",
|
58 |
+
"root": "/home/sanchitgandhi/flax-wav2vec2-2-bart-large-ls-960h-feature-encoder",
|
59 |
+
"host": "t1v-n-7e6d8bf0-w-0",
|
60 |
+
"username": "sanchitgandhi",
|
61 |
+
"executable": "/home/sanchitgandhi/hf/bin/python"
|
62 |
+
}
|
wandb/run-20220530_120145-2k01y1ky/files/wandb-summary.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"_wandb": {"runtime": 524}}
|
wandb/run-20220530_120145-2k01y1ky/logs/debug-internal.log
ADDED
@@ -0,0 +1,369 @@
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ADDED
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2022-05-30 12:01:45,820 INFO MainThread:2796655 [wandb_setup.py:_flush():75] Loading settings from environment variables: {}
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2022-05-30 12:01:46,892 INFO MainThread:2796655 [wandb_run.py:_on_init():1923] communicating current version
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+
}
|
35 |
+
|
36 |
+
2022-05-30 12:10:31,396 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
37 |
+
wandb_count: 1
|
38 |
+
}
|
39 |
+
pusher_stats {
|
40 |
+
uploaded_bytes: 2402
|
41 |
+
total_bytes: 2402
|
42 |
+
}
|
43 |
+
|
44 |
+
2022-05-30 12:10:32,074 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
45 |
+
wandb_count: 4
|
46 |
+
}
|
47 |
+
pusher_stats {
|
48 |
+
uploaded_bytes: 2402
|
49 |
+
total_bytes: 21698
|
50 |
+
}
|
51 |
+
|
52 |
+
2022-05-30 12:10:32,175 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
53 |
+
wandb_count: 5
|
54 |
+
}
|
55 |
+
pusher_stats {
|
56 |
+
uploaded_bytes: 2402
|
57 |
+
total_bytes: 21726
|
58 |
+
}
|
59 |
+
|
60 |
+
2022-05-30 12:10:32,277 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
61 |
+
wandb_count: 5
|
62 |
+
}
|
63 |
+
pusher_stats {
|
64 |
+
uploaded_bytes: 18945
|
65 |
+
total_bytes: 21726
|
66 |
+
}
|
67 |
+
|
68 |
+
2022-05-30 12:10:32,379 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
69 |
+
wandb_count: 5
|
70 |
+
}
|
71 |
+
pusher_stats {
|
72 |
+
uploaded_bytes: 18945
|
73 |
+
total_bytes: 21726
|
74 |
+
}
|
75 |
+
|
76 |
+
2022-05-30 12:10:32,480 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
77 |
+
wandb_count: 5
|
78 |
+
}
|
79 |
+
pusher_stats {
|
80 |
+
uploaded_bytes: 21726
|
81 |
+
total_bytes: 21726
|
82 |
+
}
|
83 |
+
|
84 |
+
2022-05-30 12:10:32,582 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
85 |
+
wandb_count: 5
|
86 |
+
}
|
87 |
+
pusher_stats {
|
88 |
+
uploaded_bytes: 21726
|
89 |
+
total_bytes: 21726
|
90 |
+
}
|
91 |
+
|
92 |
+
2022-05-30 12:10:32,683 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
93 |
+
wandb_count: 5
|
94 |
+
}
|
95 |
+
pusher_stats {
|
96 |
+
uploaded_bytes: 21726
|
97 |
+
total_bytes: 21726
|
98 |
+
}
|
99 |
+
|
100 |
+
2022-05-30 12:10:32,785 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
101 |
+
wandb_count: 5
|
102 |
+
}
|
103 |
+
pusher_stats {
|
104 |
+
uploaded_bytes: 21726
|
105 |
+
total_bytes: 21726
|
106 |
+
}
|
107 |
+
|
108 |
+
2022-05-30 12:10:32,886 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
109 |
+
wandb_count: 5
|
110 |
+
}
|
111 |
+
pusher_stats {
|
112 |
+
uploaded_bytes: 21726
|
113 |
+
total_bytes: 21726
|
114 |
+
}
|
115 |
+
|
116 |
+
2022-05-30 12:10:34,993 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: file_counts {
|
117 |
+
wandb_count: 5
|
118 |
+
}
|
119 |
+
pusher_stats {
|
120 |
+
uploaded_bytes: 21726
|
121 |
+
total_bytes: 21726
|
122 |
+
}
|
123 |
+
|
124 |
+
2022-05-30 12:10:35,368 INFO MainThread:2796655 [wandb_run.py:_on_finish():1995] got exit ret: done: true
|
125 |
+
exit_result {
|
126 |
+
}
|
127 |
+
file_counts {
|
128 |
+
wandb_count: 5
|
129 |
+
}
|
130 |
+
pusher_stats {
|
131 |
+
uploaded_bytes: 21726
|
132 |
+
total_bytes: 21726
|
133 |
+
}
|
134 |
+
local_info {
|
135 |
+
}
|
136 |
+
|
137 |
+
2022-05-30 12:10:36,532 INFO MainThread:2796655 [wandb_run.py:_footer_history_summary_info():3102] rendering history
|
138 |
+
2022-05-30 12:10:36,532 INFO MainThread:2796655 [wandb_run.py:_footer_history_summary_info():3134] rendering summary
|
139 |
+
2022-05-30 12:10:36,535 INFO MainThread:2796655 [wandb_run.py:_footer_sync_info():3057] logging synced files
|
wandb/run-20220530_120145-2k01y1ky/run-2k01y1ky.wandb
ADDED
Binary file (33.6 kB). View file
|
|