Trained a model using trainer.train() and trainer.push().
training_args = Seq2SeqTrainingArguments(
    output_dir=fine_tuned_model,  # same name as model
    per_device_train_batch_size=16,
    gradient_accumulation_steps=1,  
    learning_rate=1e-5,
    warmup_steps=50,
    max_steps=max_steps,
    gradient_checkpointing=True,
    fp16=True,
    evaluation_strategy="steps",
    per_device_eval_batch_size=8,
    predict_with_generate=True,
    generation_max_length=225,
    save_steps=200,
    eval_steps=200,
    logging_steps=200,
    report_to=["tensorboard"],
    load_best_model_at_end=True,
    metric_for_best_model="wer",
    greater_is_better=False,
    push_to_hub=True,
    save_total_limit=1,
    hub_strategy="all_checkpoints"
)
from transformers import Seq2SeqTrainer
from transformers.integrations import TensorBoardCallback
trainer = Seq2SeqTrainer(
    args=training_args,
    model=model,
    train_dataset=audio_dataset["train"],
    eval_dataset=audio_dataset["test"],
    data_collator=data_collator,
    compute_metrics=compute_metrics,
    tokenizer=processor.feature_extractor,
    callbacks=[TensorBoardCallback()]
)
The logs messages show tf events files are pushed to hub.
Upload 2 LFS files:   0%|          | 0/2 [00:00<?, ?it/s]
events.out.tfevents.1708962517.57b658957df3.26.1:   0%|          | 0.00/9.64k [00:00<?, ?B/s]
events.out.tfevents.1708962517.57b658957df3.26.0:   0%|          | 0.00/9.64k [00:00<?, ?B/s]
I can view tensorboard on local computer
However when I open tensorboard on hub it errors out
### No dashboards are active for the current data set.
Probable causes:
* You haven’t written any data to your event files.
* TensorBoard can’t find your event files.
Any pointers to load tensorboard on hub ?

