pt evaluation

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,116 @@
+---
+language:
+- pt
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- robust-speech-event
+- mozilla-foundation/common_voice_8_0
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: xls-r-300m-pt
+  results: 
+  - task: 
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8.0 fr
+      type: mozilla-foundation/common_voice_8_0
+      args: fr
+    metrics:
+        - name: Test WER
+          type: wer
+          value: 21.008
+        - name: Test CER
+          type: cer
+          value: 6.117
+  - task: 
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: fr
+    metrics:
+        - name: Validation WER
+          type: wer
+          value: 47.812 
+        - name: Validation CER
+          type: cer
+          value: 18.805
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# 
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - PT dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2290
+- Wer: 0.2382
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1500
+- num_epochs: 15.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 3.0952        | 0.64  | 500   | 3.0982          | 1.0    |
+| 1.7975        | 1.29  | 1000  | 0.7887          | 0.5651 |
+| 1.4138        | 1.93  | 1500  | 0.5238          | 0.4389 |
+| 1.344         | 2.57  | 2000  | 0.4775          | 0.4318 |
+| 1.2737        | 3.21  | 2500  | 0.4648          | 0.4075 |
+| 1.2554        | 3.86  | 3000  | 0.4069          | 0.3678 |
+| 1.1996        | 4.5   | 3500  | 0.3914          | 0.3668 |
+| 1.1427        | 5.14  | 4000  | 0.3694          | 0.3572 |
+| 1.1372        | 5.78  | 4500  | 0.3568          | 0.3501 |
+| 1.0831        | 6.43  | 5000  | 0.3331          | 0.3253 |
+| 1.1074        | 7.07  | 5500  | 0.3332          | 0.3352 |
+| 1.0536        | 7.71  | 6000  | 0.3131          | 0.3152 |
+| 1.0248        | 8.35  | 6500  | 0.3024          | 0.3023 |
+| 1.0075        | 9.0   | 7000  | 0.2948          | 0.3028 |
+| 0.979         | 9.64  | 7500  | 0.2796          | 0.2853 |
+| 0.9594        | 10.28 | 8000  | 0.2719          | 0.2789 |
+| 0.9172        | 10.93 | 8500  | 0.2620          | 0.2695 |
+| 0.9047        | 11.57 | 9000  | 0.2537          | 0.2596 |
+| 0.8777        | 12.21 | 9500  | 0.2438          | 0.2525 |
+| 0.8629        | 12.85 | 10000 | 0.2409          | 0.2493 |
+| 0.8575        | 13.5  | 10500 | 0.2366          | 0.2440 |
+| 0.8361        | 14.14 | 11000 | 0.2317          | 0.2385 |
+| 0.8126        | 14.78 | 11500 | 0.2290          | 0.2382 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.2.dev0
+- Tokenizers 0.11.0

.ipynb_checkpoints/added_tokens-checkpoint.json

@@ -0,0 +1 @@
+{"<s>": 51, "</s>": 52}

.ipynb_checkpoints/all_results-checkpoint.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 15.0,
+    "eval_loss": 0.22902172803878784,
+    "eval_runtime": 327.6131,
+    "eval_samples": 8301,
+    "eval_samples_per_second": 25.338,
+    "eval_steps_per_second": 0.794,
+    "eval_wer": 0.23818860067667216,
+    "train_loss": 1.3307904394651542,
+    "train_runtime": 23640.5221,
+    "train_samples": 24877,
+    "train_samples_per_second": 15.785,
+    "train_steps_per_second": 0.494
+}

.ipynb_checkpoints/config-checkpoint.json

@@ -0,0 +1,107 @@
+{
+  "_name_or_path": "facebook/wav2vec2-xls-r-300m",
+  "activation_dropout": 0.05,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "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
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "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,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.3,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.65,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "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,
+  "output_hidden_size": 1024,
+  "pad_token_id": 50,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0.dev0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 53,
+  "xvector_output_dim": 512
+}

.ipynb_checkpoints/eval-checkpoint.py

@@ -0,0 +1,140 @@
+#!/usr/bin/env python3
+import argparse
+import re
+import unicodedata
+from typing import Dict
+
+import torch
+from datasets import Audio, Dataset, load_dataset, load_metric
+
+from transformers import AutoFeatureExtractor, pipeline
+
+
+def log_results(result: Dataset, args: Dict[str, str]):
+    """DO NOT CHANGE. This function computes and logs the result metrics."""
+
+    log_outputs = args.log_outputs
+    dataset_id = "_".join(args.dataset.split("/") + [args.config, args.split])
+
+    # load metric
+    wer = load_metric("wer")
+    cer = load_metric("cer")
+
+    # compute metrics
+    wer_result = wer.compute(references=result["target"], predictions=result["prediction"])
+    cer_result = cer.compute(references=result["target"], predictions=result["prediction"])
+
+    # print & log results
+    result_str = f"WER: {wer_result}\n" f"CER: {cer_result}"
+    print(result_str)
+
+    with open(f"{dataset_id}_eval_results.txt", "w") as f:
+        f.write(result_str)
+
+    # log all results in text file. Possibly interesting for analysis
+    if log_outputs is not None:
+        pred_file = f"log_{dataset_id}_predictions.txt"
+        target_file = f"log_{dataset_id}_targets.txt"
+
+        with open(pred_file, "w") as p, open(target_file, "w") as t:
+
+            # mapping function to write output
+            def write_to_file(batch, i):
+                p.write(f"{i}" + "\n")
+                p.write(batch["prediction"] + "\n")
+                t.write(f"{i}" + "\n")
+                t.write(batch["target"] + "\n")
+
+            result.map(write_to_file, with_indices=True)
+
+
+chars_to_remove_regex = r'[\,\?\.\!\-\_\;\:\"\“\%\‘\”\�\^]'
+
+def remove_special_characters(text):
+    text = re.sub(chars_to_remove_regex, '', text).lower()
+    return text
+    
+def normalize_text(text: str) -> str:
+    text = remove_special_characters(text)
+
+    # In addition, we can normalize the target text, e.g. removing new lines characters etc...
+    # note that order is important here!
+    token_sequences_to_ignore = ["\n\n", "\n", "   ", "  "]
+
+    for t in token_sequences_to_ignore:
+        text = " ".join(text.split(t))
+
+    return text
+
+
+def main(args):
+    # load dataset
+    dataset = load_dataset(args.dataset, args.config, split=args.split, use_auth_token=True)
+
+    # for testing: only process the first two examples as a test
+    # dataset = dataset.select(range(2))
+
+    # load processor
+    feature_extractor = AutoFeatureExtractor.from_pretrained(args.model_id)
+    sampling_rate = feature_extractor.sampling_rate
+
+    # resample audio
+    dataset = dataset.cast_column("audio", Audio(sampling_rate=sampling_rate))
+
+    # load eval pipeline
+    if args.device is None:
+        args.device = 0 if torch.cuda.is_available() else -1
+    asr = pipeline("automatic-speech-recognition", model=args.model_id, device=args.device)
+
+    # map function to decode audio
+    def map_to_pred(batch):
+        prediction = asr(
+            batch["audio"]["array"], chunk_length_s=args.chunk_length_s, stride_length_s=args.stride_length_s
+        )
+
+        batch["prediction"] = prediction["text"]  # "".join(prediction["text"].split("<s>"))
+        batch["target"] = normalize_text(batch["sentence"])
+        return batch
+
+    # run inference on all examples
+    result = dataset.map(map_to_pred, remove_columns=dataset.column_names)
+
+    # compute and log_results
+    # do not change function below
+    log_results(result, args)
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "--model_id", type=str, required=True, help="Model identifier. Should be loadable with 🤗 Transformers"
+    )
+    parser.add_argument(
+        "--dataset",
+        type=str,
+        required=True,
+        help="Dataset name to evaluate the `model_id`. Should be loadable with 🤗 Datasets",
+    )
+    parser.add_argument(
+        "--config", type=str, required=True, help="Config of the dataset. *E.g.* `'en'`  for Common Voice"
+    )
+    parser.add_argument("--split", type=str, required=True, help="Split of the dataset. *E.g.* `'test'`")
+    parser.add_argument(
+        "--chunk_length_s", type=float, default=None, help="Chunk length in seconds. Defaults to 5 seconds."
+    )
+    parser.add_argument(
+        "--stride_length_s", type=float, default=None, help="Stride of the audio chunks. Defaults to 1 second."
+    )
+    parser.add_argument(
+        "--log_outputs", action="store_true", help="If defined, write outputs to log file for analysis."
+    )
+    parser.add_argument(
+        "--device",
+        type=int,
+        default=None,
+        help="The device to run the pipeline on. -1 for CPU (default), 0 for the first GPU and so on.",
+    )
+    args = parser.parse_args()
+
+    main(args)

.ipynb_checkpoints/eval_results-checkpoint.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 15.0,
+    "eval_loss": 0.22902172803878784,
+    "eval_runtime": 327.6131,
+    "eval_samples": 8301,
+    "eval_samples_per_second": 25.338,
+    "eval_steps_per_second": 0.794,
+    "eval_wer": 0.23818860067667216
+}

.ipynb_checkpoints/preprocessor_config-checkpoint.json

@@ -0,0 +1,9 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

.ipynb_checkpoints/run-checkpoint.sh

@@ -28,7 +28,7 @@ python run_speech_recognition_ctc.py \
 --mask_feature_length="10" \
 --gradient_checkpointing \
 --report_to="wandb" \
---run_name="xls-r-300m-fr" \
+--run_name="xls-r-300m-pt" \
 --max_duration_in_seconds="20" \
 --use_auth_token \
 --fp16 \

.ipynb_checkpoints/tokenizer_config-checkpoint.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "config": null, "tokenizer_type": "wav2vec2", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}

.ipynb_checkpoints/validate-checkpoint.sh

@@ -1,3 +1,3 @@
-python eval.py --model_id="./" --dataset="mozilla-foundation/common_voice_8_0" --config="fr" --split="test" --log_outputs
-python eval.py --model_id="./" --dataset="speech-recognition-community-v2/dev_data" --config="fr" \
---split="validation" --chunk_length_s="5.0" --stride_length_s="1.0" --log_outputs
+python eval.py --model_id="./" --dataset="mozilla-foundation/common_voice_8_0" --config="pt" --split="test" --log_outputs
+python eval.py --model_id="./" --dataset="speech-recognition-community-v2/dev_data" --config="pt" \
+--split="validation" --chunk_length_s="5.0" --stride_length_s="1.0" --log_outputs --device="-1"

.ipynb_checkpoints/vocab-checkpoint.json

@@ -0,0 +1 @@
+{"&": 1, "'": 2, "a": 3, "b": 4, "c": 5, "d": 6, "e": 7, "f": 8, "g": 9, "h": 10, "i": 11, "j": 12, "k": 13, "l": 14, "m": 15, "n": 16, "o": 17, "p": 18, "q": 19, "r": 20, "s": 21, "t": 22, "u": 23, "v": 24, "w": 25, "x": 26, "y": 27, "z": 28, "«": 29, "´": 30, "»": 31, "à": 32, "á": 33, "â": 34, "ã": 35, "ç": 36, "è": 37, "é": 38, "ê": 39, "í": 40, "ñ": 41, "ó": 42, "ô": 43, "õ": 44, "ú": 45, "ü": 46, "š": 47, "ž": 48, "|": 0, "[UNK]": 49, "[PAD]": 50}

README.md

@@ -10,8 +10,36 @@ tags:
 datasets:
 - common_voice
 model-index:
-- name: ''
-  results: []
+- name: xls-r-300m-pt
+  results: 
+  - task: 
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8.0 fr
+      type: mozilla-foundation/common_voice_8_0
+      args: fr
+    metrics:
+        - name: Test WER
+          type: wer
+          value: 21.008
+        - name: Test CER
+          type: cer
+          value: 6.117
+  - task: 
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: fr
+    metrics:
+        - name: Validation WER
+          type: wer
+          value: 47.812 
+        - name: Validation CER
+          type: cer
+          value: 18.805
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

eval.py

@@ -50,21 +50,8 @@ def log_results(result: Dataset, args: Dict[str, str]):
 
 chars_to_remove_regex = r'[\,\?\.\!\-\_\;\:\"\“\%\‘\”\�\^]'
 
-def remove_accents(text):
-    nfkd_form = unicodedata.normalize('NFKD', text)
-    return u"".join([c for c in nfkd_form if not unicodedata.combining(c)])
-
 def remove_special_characters(text):
     text = re.sub(chars_to_remove_regex, '', text).lower()
-    text = re.sub("ç", r'[cedille]', text)
-    text = re.sub("&", r'et', text)    
-    text = re.sub("%", r' pourcents', text)   
-    text = re.sub("([0-9]+)(,|.)([0-9+])", r'\1 virgule \3', text) 
-    text = re.sub("\$", r'dollar', text)
-    text = re.sub("\£", r'livre', text)
-    text = re.sub("\€", r'euro', text)
-    text = remove_accents(text)
-    text = re.sub(r"\[cedille\]", 'ç', text) + " "
     return text
     
 def normalize_text(text: str) -> str:

mozilla-foundation_common_voice_8_0_pt_test_eval_results.txt

@@ -0,0 +1,2 @@
+WER: 0.21008068014227466
+CER: 0.06117429121735184

run.sh

@@ -28,7 +28,7 @@ python run_speech_recognition_ctc.py \
 --mask_feature_length="10" \
 --gradient_checkpointing \
 --report_to="wandb" \
---run_name="xls-r-300m-fr" \
+--run_name="xls-r-300m-pt" \
 --max_duration_in_seconds="20" \
 --use_auth_token \
 --fp16 \

speech-recognition-community-v2_dev_data_pt_validation_eval_results.txt

@@ -0,0 +1,2 @@
+WER: 0.4781234251156824
+CER: 0.1880587725716785

validate.sh

@@ -1,3 +1,3 @@
-python eval.py --model_id="./" --dataset="mozilla-foundation/common_voice_8_0" --config="fr" --split="test" --log_outputs
-python eval.py --model_id="./" --dataset="speech-recognition-community-v2/dev_data" --config="fr" \
---split="validation" --chunk_length_s="5.0" --stride_length_s="1.0" --log_outputs
+python eval.py --model_id="./" --dataset="mozilla-foundation/common_voice_8_0" --config="pt" --split="test" --log_outputs
+python eval.py --model_id="./" --dataset="speech-recognition-community-v2/dev_data" --config="pt" \
+--split="validation" --chunk_length_s="5.0" --stride_length_s="1.0" --log_outputs --device="-1"

wandb/run-20220201_223624-2b1hcyq3/files/config.yaml

@@ -4829,7 +4829,13 @@ _wandb:
       - 1
       - 5
       - 11
+      2:
+      - 1
+      - 5
+      - 11
       3:
+      - 1
+      - 7
       - 13
       4: 3.8.8
       5: 0.12.9

wandb/run-20220201_223624-2b1hcyq3/files/output.log

@@ -10238,3 +10238,10 @@ Deleting older checkpoint [checkpoint-4500] due to args.save_total_limit
 02/02/2022 05:17:09 - WARNING - huggingface_hub.repository - To https://huggingface.co/AlexN/xls-r-300m-pt
    1f92738..6db3b99  main -> main
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+  0%|                                                                                                                                                                                                                | 0/260 [00:00<?, ?it/s]
+02/02/2022 05:17:23 - WARNING - huggingface_hub.repository - To https://huggingface.co/AlexN/xls-r-300m-pt
+   6db3b99..0a6506a  main -> main
+  0%|                                                                                                                                                                                                                | 0/260 [00:00<?, ?it/s]
+  0%|                                                                                                                                                                                                                | 0/260 [00:00<?, ?it/s]

wandb/run-20220201_223624-2b1hcyq3/logs/debug-internal.log

@@ -15864,3 +15864,123 @@
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 2022-02-02 05:17:13,234 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log
 2022-02-02 05:17:15,236 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log
+2022-02-02 05:17:21,239 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log
+2022-02-02 05:17:23,240 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log
+2022-02-02 05:17:24,240 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log
+2022-02-02 05:17:25,241 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log
+2022-02-02 05:17:28,344 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:28,344 DEBUG   SenderThread:38198 [sender.py:send():234] send: telemetry
+2022-02-02 05:17:28,345 DEBUG   SenderThread:38198 [sender.py:send():234] send: exit
+2022-02-02 05:17:28,345 INFO    SenderThread:38198 [sender.py:send_exit():366] handling exit code: 0
+2022-02-02 05:17:28,345 INFO    SenderThread:38198 [sender.py:send_exit():368] handling runtime: 24062
+2022-02-02 05:17:28,377 INFO    SenderThread:38198 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-02-02 05:17:28,377 INFO    SenderThread:38198 [sender.py:send_exit():374] send defer
+2022-02-02 05:17:28,377 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:28,378 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:28,379 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 0
+2022-02-02 05:17:28,379 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:28,379 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 0
+2022-02-02 05:17:28,379 INFO    SenderThread:38198 [sender.py:transition_state():387] send defer: 1
+2022-02-02 05:17:28,380 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:28,380 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 1
+2022-02-02 05:17:28,486 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:28,486 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:28,486 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 1
+2022-02-02 05:17:28,487 INFO    SenderThread:38198 [sender.py:transition_state():387] send defer: 2
+2022-02-02 05:17:28,487 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:28,488 DEBUG   SenderThread:38198 [sender.py:send():234] send: stats
+2022-02-02 05:17:28,489 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:28,489 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 2
+2022-02-02 05:17:28,489 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:28,490 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 2
+2022-02-02 05:17:28,490 INFO    SenderThread:38198 [sender.py:transition_state():387] send defer: 3
+2022-02-02 05:17:28,490 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:28,490 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 3
+2022-02-02 05:17:28,530 DEBUG   SenderThread:38198 [sender.py:send():234] send: summary
+2022-02-02 05:17:28,576 INFO    SenderThread:38198 [sender.py:_save_file():939] saving file wandb-summary.json with policy end
+2022-02-02 05:17:28,576 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:28,576 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 3
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+2022-02-02 05:17:28,577 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:28,578 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 4
+2022-02-02 05:17:28,578 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:28,578 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 4
+2022-02-02 05:17:28,590 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:29,255 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log
+2022-02-02 05:17:29,255 INFO    SenderThread:38198 [sender.py:transition_state():387] send defer: 5
+2022-02-02 05:17:29,255 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/wandb-summary.json
+2022-02-02 05:17:29,256 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:29,257 INFO    Thread-8  :38198 [dir_watcher.py:_on_file_modified():230] file/dir modified: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/config.yaml
+2022-02-02 05:17:29,258 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:29,258 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 5
+2022-02-02 05:17:29,259 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:29,259 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 5
+2022-02-02 05:17:29,259 INFO    SenderThread:38198 [dir_watcher.py:finish():283] shutting down directory watcher
+2022-02-02 05:17:29,359 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:30,258 INFO    SenderThread:38198 [dir_watcher.py:finish():313] scan: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files
+2022-02-02 05:17:30,258 INFO    SenderThread:38198 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log output.log
+2022-02-02 05:17:30,259 INFO    SenderThread:38198 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/wandb-metadata.json wandb-metadata.json
+2022-02-02 05:17:30,259 INFO    SenderThread:38198 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/config.yaml config.yaml
+2022-02-02 05:17:30,260 INFO    SenderThread:38198 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/conda-environment.yaml conda-environment.yaml
+2022-02-02 05:17:30,267 INFO    SenderThread:38198 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/wandb-summary.json wandb-summary.json
+2022-02-02 05:17:30,273 INFO    SenderThread:38198 [dir_watcher.py:finish():327] scan save: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/requirements.txt requirements.txt
+2022-02-02 05:17:30,281 INFO    SenderThread:38198 [sender.py:transition_state():387] send defer: 6
+2022-02-02 05:17:30,282 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:30,286 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:30,287 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 6
+2022-02-02 05:17:30,287 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:30,288 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 6
+2022-02-02 05:17:30,288 INFO    SenderThread:38198 [file_pusher.py:finish():177] shutting down file pusher
+2022-02-02 05:17:30,384 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:30,385 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:30,488 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:30,489 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:30,593 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:30,593 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:30,696 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:30,696 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:30,799 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:30,799 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:30,902 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:30,902 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:31,005 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:31,005 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:31,043 INFO    Thread-12 :38198 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/output.log
+2022-02-02 05:17:31,090 INFO    Thread-14 :38198 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/wandb-summary.json
+2022-02-02 05:17:31,098 INFO    Thread-15 :38198 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/requirements.txt
+2022-02-02 05:17:31,108 INFO    Thread-13 :38198 [upload_job.py:push():137] Uploaded file /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/files/config.yaml
+2022-02-02 05:17:31,110 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:31,110 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:31,213 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:31,214 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:31,310 INFO    Thread-7  :38198 [sender.py:transition_state():387] send defer: 7
+2022-02-02 05:17:31,311 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:31,311 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 7
+2022-02-02 05:17:31,311 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:31,311 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 7
+2022-02-02 05:17:31,322 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:32,128 INFO    SenderThread:38198 [sender.py:transition_state():387] send defer: 8
+2022-02-02 05:17:32,128 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:32,129 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:32,130 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 8
+2022-02-02 05:17:32,130 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:32,130 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 8
+2022-02-02 05:17:32,130 INFO    SenderThread:38198 [sender.py:transition_state():387] send defer: 9
+2022-02-02 05:17:32,132 DEBUG   SenderThread:38198 [sender.py:send():234] send: final
+2022-02-02 05:17:32,133 DEBUG   SenderThread:38198 [sender.py:send():234] send: footer
+2022-02-02 05:17:32,133 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: defer
+2022-02-02 05:17:32,134 INFO    HandlerThread:38198 [handler.py:handle_request_defer():147] handle defer: 9
+2022-02-02 05:17:32,134 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: defer
+2022-02-02 05:17:32,134 INFO    SenderThread:38198 [sender.py:send_request_defer():383] handle sender defer: 9
+2022-02-02 05:17:32,231 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: poll_exit
+2022-02-02 05:17:32,232 DEBUG   SenderThread:38198 [sender.py:send_request():248] send_request: poll_exit
+2022-02-02 05:17:32,232 INFO    SenderThread:38198 [file_pusher.py:join():182] waiting for file pusher
+2022-02-02 05:17:32,548 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: get_summary
+2022-02-02 05:17:32,620 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: sampled_history
+2022-02-02 05:17:32,624 DEBUG   HandlerThread:38198 [handler.py:handle_request():130] handle_request: shutdown
+2022-02-02 05:17:32,624 INFO    HandlerThread:38198 [handler.py:finish():731] shutting down handler
+2022-02-02 05:17:33,133 INFO    WriterThread:38198 [datastore.py:close():281] close: /workspace/xls-r-300m-pt/wandb/run-20220201_223624-2b1hcyq3/run-2b1hcyq3.wandb
+2022-02-02 05:17:33,546 INFO    SenderThread:38198 [sender.py:finish():1070] shutting down sender
+2022-02-02 05:17:33,546 INFO    SenderThread:38198 [file_pusher.py:finish():177] shutting down file pusher
+2022-02-02 05:17:33,547 INFO    SenderThread:38198 [file_pusher.py:join():182] waiting for file pusher
+2022-02-02 05:17:33,554 INFO    MainThread:38198 [internal.py:handle_exit():77] Internal process exited

wandb/run-20220201_223624-2b1hcyq3/logs/debug.log

@@ -23,3 +23,133 @@ config: {}
 2022-02-01 22:36:26,500 INFO    MainThread:37310 [wandb_init.py:init():633] run started, returning control to user process
 2022-02-01 22:36:26,504 INFO    MainThread:37310 [wandb_run.py:_config_callback():956] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 50, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.05, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 53, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.65, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.3, 'mask_feature_length': 10, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'mean', 'ctc_zero_infinity': False, 'add_adapter': False, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 32, 'per_device_eval_batch_size': 32, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': 'None', 'learning_rate': 0.0002, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 15.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 1500, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Feb01_22-34-39_job-1abccd0a-3293-4ffe-8274-9e8f841f653f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 3, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'xls-r-300m-fr', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 32, 'eval_batch_size': 32}
 2022-02-01 22:36:26,509 INFO    MainThread:37310 [wandb_watch.py:watch():43] Watching
+2022-02-02 05:17:25,827 INFO    MainThread:37310 [wandb_run.py:_atexit_cleanup():1780] got exitcode: 0
+2022-02-02 05:17:25,831 INFO    MainThread:37310 [wandb_run.py:_restore():1752] restore
+2022-02-02 05:17:28,379 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2149
+  total_bytes: 2149
+}
+
+2022-02-02 05:17:28,489 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2149
+  total_bytes: 2149
+}
+
+2022-02-02 05:17:29,258 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 1
+}
+pusher_stats {
+  uploaded_bytes: 2149
+  total_bytes: 2149
+}
+
+2022-02-02 05:17:30,283 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 4
+}
+pusher_stats {
+  uploaded_bytes: 2149
+  total_bytes: 2176207
+}
+
+2022-02-02 05:17:30,386 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2149
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:30,491 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2149
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:30,594 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2176207
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:30,697 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2176207
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:30,800 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2179340
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:30,903 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2179340
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:31,006 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2179340
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:31,111 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2179340
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:31,215 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2179340
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:32,130 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2179340
+  total_bytes: 2179340
+}
+
+2022-02-02 05:17:32,547 INFO    MainThread:37310 [wandb_run.py:_wait_for_finish():1912] got exit ret: done: true
+exit_result {
+}
+file_counts {
+  wandb_count: 5
+}
+pusher_stats {
+  uploaded_bytes: 2179340
+  total_bytes: 2179340
+}
+local_info {
+}
+
+2022-02-02 05:17:33,722 INFO    MainThread:37310 [wandb_run.py:_append_history():2130] rendering history
+2022-02-02 05:17:33,724 INFO    MainThread:37310 [wandb_run.py:_append_summary():2085] rendering summary
+2022-02-02 05:17:33,726 INFO    MainThread:37310 [wandb_run.py:_append_files():2180] logging synced files

wandb/run-20220201_223624-2b1hcyq3/run-2b1hcyq3.wandb

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