Epoch is zero is updated in epoch 2 instead of 1 twice in the Callback
### System Info

Google Colab, transformers 4.26

### Who can help?

@sta

### Information

- [ ] The official example scripts
- [ ] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)

### Reproduction

```python
from transformers import TrainerCallback, TrainingArguments,TrainerControl,TrainerState
from typing import Dict, Any

class DebugCallback(TrainerCallback):

    def on_train_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs: Dict,
    ) -> None:        
        print("training start")

    def on_evaluate(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs: Dict,
    ) -> None:
        print("valiidation")

    def on_epoch_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs: Dict,
    ) -> None:
        self.state = state
        print("epoch", state.epoch)
        print("train" )

    def on_epoch_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs: Dict,
    ) -> None:
        print("val")
        print("epoch", state.epoch)

    def on_train_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs: Dict,
    ) -> None:
        print("test")

dc= DebugCallback()

trainer = Trainer(
    model=model,
    args=training_args,
    data_collator=data_collator,
    train_dataset=food["train"].remove_columns("id"),
    eval_dataset=food["test"].remove_columns("id"),
    tokenizer=image_processor,
    compute_metrics=compute_metrics,
    callbacks=[dc]
)
```

### Expected behavior

Expected outcome:


```
epoch 0
epoch 1
epoch 2
```
actual outcome.
```training
epoch 0
train
val
epoch 0.992
valiidation
epoch 0
train
val
epoch 1.992
valiidation
epoch 1
train```

So epoch 0 gets logged twice?
Hey, I'm a research engineer working on language modelling wanting to contribute to open source. I was wondering if I could give it a shot?<|||||>@jackapbutler go for it :)<|||||>Hey @franz101, I'm unable to reproduce the issue you've highlighted, do you have access to the `TrainingArguments` that you used for this experiment?

When I run the code I get the following expected output;
```bash
[I 230214 16:26:49 yo:27] training start
[I 230214 16:26:49 yo:46] train
[I 230214 16:26:49 yo:47] epoch 0
[I 230214 16:27:06 yo:56] val
[I 230214 16:27:06 yo:57] epoch 0.96
[I 230214 16:27:12 yo:36] valiidation
[I 230214 16:27:13 yo:46] train
[I 230214 16:27:13 yo:47] epoch 0.96
[I 230214 16:27:29 yo:56] val
[I 230214 16:27:29 yo:57] epoch 1.96
[I 230214 16:27:36 yo:36] valiidation
[I 230214 16:27:36 yo:46] train
[I 230214 16:27:36 yo:47] epoch 1.96
[I 230214 16:27:53 yo:56] val
[I 230214 16:27:53 yo:57] epoch 2.96
[I 230214 16:28:00 yo:36] valiidation
[I 230214 16:28:00 yo:66] test
```<|||||>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/main/CONTRIBUTING.md) are likely to be ignored.