Model Training 
I am training an ru model and I don't know if this process is going well

My code:

`import nemo`
`import nemo.collections.asr as nemo_asr` 
`import pytorch_lightning as pl`
`
`
`from nemo.utils.exp_manager import exp_manager`
`from omegaconf import DictConfig, OmegaConf`
`
`
`params = OmegaConf.load(model_conf_path)`
`
`
`min_duration = 0.5`
`epochs = 150`
`gpus = 1`
`
`
`params.trainer.devices = gpus`
`params.trainer.max_epochs = epochs`
`params.model.train_ds.manifest_filepath = train_manifest_path`
`params.model.train_ds.min_duration = min_duration`
`params.model.validation_ds.manifest_filepath = validation_manifest_path`
`params.model.test_ds.manifest_filepath = test_manifest_path`
`params.exp_manager.exp_dir = "/path/to/save_tr_nemo/"`
`
`
`trainer = pl.Trainer(**params.trainer)`
`model = nemo_asr.models.EncDecCTCModel(cfg=params.model, trainer=trainer)`
`exp_manager(trainer=trainer, cfg=params.exp_manager)`
`
`
`trainer.fit(model)`
`trainer.test(model)`

There is yaml config:
https://github.com/Project-fil/Project-fil/blob/ee79825609cca9e8b01a9c4eb43b564bb5c2b35d/quartznet_ru.yaml

Train manifest file looks like this:
`{"audio_filepath": ""/path/to/wav", "duration": 4.8, "text": "у вас просроченных дней две тысячи сто шестьдесят один дней"}`
`{"audio_filepath": "/path/to/wav", "duration": 9.1, "text": "выключай выключай давайте следующую свечу других нет сейчас расскажу один анекдот когда"}`
Total files: 253 390 
Duration - 5050.82 hours.

I get these files in the "checkpoints" directory and after 10 epochs "wer" never went below 0.9.

`'QuartzNet15x5_ru--val_wer=0.9031-epoch=6.ckpt'`
`'QuartzNet15x5_ru--val_wer=0.9067-epoch=8.ckpt'`
`'QuartzNet15x5_ru--val_wer=0.9094-epoch=1.ckpt'`
`'QuartzNet15x5_ru--val_wer=0.9798-epoch=9-last.ckpt'`

and now

`'QuartzNet15x5_ru--val_wer=0.9031-epoch=6.ckpt'`
`'QuartzNet15x5_ru--val_wer=0.9067-epoch=8.ckpt'`
`'QuartzNet15x5_ru--val_wer=0.9078-epoch=11.ckpt'`
`'QuartzNet15x5_ru--val_wer=0.9798-epoch=19-last.ckpt'`

Please tell me this is a normal learning process or am I doing something wrong.
