[chat] add tensorboard support for coati

[CZYCW]

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🚨 Issue number

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📝 What does this PR do?

Add capability to coati to record training metrics in the format of tensoboard and save them to local tensorboard log directory.

💥 Checklist before requesting a review

• I have linked my PR to an issue (instruction)
• My issue clearly describes the problem/feature/proposal, with diagrams/charts/table/code if possible
• I have performed a self-review of my code
• I have added thorough tests.
• I have added docstrings for all the functions/methods I implemented

Testing:
I have tested the change with script as below

torchrun --standalone --nproc_per_node=4 train_sft.py \
    --pretrain '/root/test-coati/ColossalAI/applications/Chat/examples/model/checkpoint' \
    --model 'bloom' \
    --strategy colossalai_zero2 \
    --log_interval 10 \
    --tensorboard_dir "/root/test-coati/ColossalAI/applications/Chat/examples/tensorboard" \
    --save_path "/root/test-coati/ColossalAI/applications/Chat/examples/output" \
    --dataset "/root/test-coati/ColossalAI/applications/Chat/examples/data.json" \
    --batch_size 4 \
    --accumulation_steps 8 \
    --lr 2e-5 \
    --max_datasets_size 512 \
    --max_epochs 1

Verified the output tensorboard file can be served by tensorboard app.

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