Model stopped training once I introduced << report_to = 'wandb' >> in TrainingArguments
I am downloading the model https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384/tree/main microsoft/Multilingual-MiniLM-L12-H384 and then using it.

Transformer Version: '4.11.3'

I have written the below code:

```
import wandb
wandb.login()
%env WANDB_LOG_MODEL=true

model = tr.BertForSequenceClassification.from_pretrained("/home/pc/minilm_model",num_labels=2)
model.to(device)

print("hello")

training_args = tr.TrainingArguments(
report_to = 'wandb',
output_dir='/home/pc/proj/results2', # output directory
num_train_epochs=10, # total number of training epochs
per_device_train_batch_size=16, # batch size per device during training
per_device_eval_batch_size=32, # batch size for evaluation
learning_rate=2e-5,
warmup_steps=1000, # number of warmup steps for learning rate scheduler
weight_decay=0.01, # strength of weight decay
logging_dir='./logs', # directory for storing logs
logging_steps=1000,
evaluation_strategy="epoch",
save_strategy="no"
)

print("hello")

trainer = tr.Trainer(
model=model, # the instantiated 🤗 Transformers model to be trained
args=training_args, # training arguments, defined above
train_dataset=train_data, # training dataset
eval_dataset=val_data, # evaluation dataset
compute_metrics=compute_metrics
)

```
After Executing this: 

The model stuck at this point:


***** Running training *****
 ```
 Num examples = 12981
  Num Epochs = 20
  Instantaneous batch size per device = 16
  Total train batch size (w. parallel, distributed & accumulation) = 32
  Gradient Accumulation steps = 1
  Total optimization steps = 8120
Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true"

```

**What could be the possible solution?**

@pratikchhapolika can you share a minimum example or a colab? Does it run ok with W&B disabled?

```
os.environ["WANDB_DISABLED"] = "true"
```

Also make sure you are on the latest version of W&B, 

```
pip install wandb --upgrade
```<|||||>> @pratikchhapolika can you share a minimum example or a colab? Does it run ok with W&B disabled?
> 
> ```
> os.environ["WANDB_DISABLED"] = "true"
> ```
> 
> Also make sure you are on the latest version of W&B,
> 
> ```
> pip install wandb --upgrade
> ```

Yes, when I do os.environ["WANDB_DISABLED"] = "true". It runs fine. <|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.