# How to set overrides?
**URL:** https://support.prodi.gy/t/how-to-set-overrides/5684
**Category:** Uncategorized
**Tags:** usage, training, ner
**Created:** [June 2, 2022, 8:45pm UTC](https://support.prodi.gy/t/how-to-set-overrides/5684 "2022-06-02T20:45:15Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@klopez](https://support.prodi.gy/u/klopez)
#### Post date: [June 2, 2022, 8:45pm UTC](https://support.prodi.gy/t/how-to-set-overrides/5684/1 "2022-06-02T20:45:15Z")
I am trying to override my batch size for training ner.
I have tried using:
```python
python -m prodigy train task_3_concepts_related_ILN_GOLD --ner ct_images_75_25_500_REVIEW --label-stats --base-model en_core_web_trf --gpu-id 0 --training.batcher.size.start=32 --training.batcher.size.stop=128
ℹ Using GPU: 0
========================= Generating Prodigy config =========================
ℹ Auto-generating config with spaCy
ℹ Using config from base model
✔ Generated training config
=========================== Initializing pipeline ===========================
✘ Error parsing config overrides
training -> batcher -> size -> start not a section value that can be overwritten
```
and:
```python
python -m prodigy train task_3_concepts_related_ILN_GOLD --ner ct_images_75_25_500_REVIEW --label-stats --base-model en_core_web_trf --gpu-id 0 --training.batch_size 128
ℹ Using GPU: 0
========================= Generating Prodigy config =========================
ℹ Auto-generating config with spaCy
ℹ Using config from base model
✔ Generated training config
=========================== Initializing pipeline ===========================
✘ Config validation error
training -> batch_size extra fields not permitted
{'train_corpus': 'corpora.train', 'dev_corpus': 'corpora.dev', 'seed': 0, 'gpu_allocator': None, 'dropout': 0.1, 'accumulate_gradient': 3, 'patience': 5000, 'max_epochs': 0, 'max_steps': 20000, 'eval_frequency': 1000, 'frozen_components': ['tagger', 'parser', 'attribute_ruler', 'lemmatizer'], 'before_to_disk': {'@misc': 'prodigy.todisk_cleanup.v1'}, 'annotating_components': [], 'logger': {'@loggers': 'prodigy.ConsoleLogger.v1'}, 'batch_size': 128, 'batcher': {'@batchers': 'spacy.batch_by_padded.v1', 'discard_oversize': True, 'get_length': None, 'size': 2000, 'buffer': 256}, 'optimizer': {'@optimizers': 'Adam.v1', 'beta1': 0.9, 'beta2': 0.999, 'L2_is_weight_decay': True, 'L2': 0.01, 'grad_clip': 1.0, 'use_averages': True, 'eps':1e-08, 'learn_rate': {'@schedules': 'warmup_linear.v1', 'warmup_steps': 250, 'total_steps': 20000, 'initial_rate': 5e-05}}, 'score_weights': {'tag_acc': None, 'dep_uas': None, 'dep_las': None, 'dep_las_per_type': None, 'sents_p': None, 'sents_r': None, 'sents_f': None, 'lemma_acc': None, 'ents_f': 0.16, 'ents_p': 0.0, 'ents_r': 0.0, 'ents_per_type': None, 'speed': 0.0}}
```
How can I check what the current batch size is and how can I customize it?
---
### Author:  [@koaning](https://support.prodi.gy/u/koaning)
#### Post date: [June 3, 2022, 7:13am UTC](https://support.prodi.gy/t/how-to-set-overrides/5684/2 "2022-06-03T07:13:13Z")
You can also customise the training procedure by giving Prodigy a `config.cfg` file for training. These can be generated from the [spaCy docs](https://spacy.io/usage/training#quickstart). This might be a better way to explore hyperparameters because you'll have the full settings lists at your disposal.
I just generated a default config via the interface. That generated many settings, some of which are related to batch sizes. Here are two settings that I found.
```python
[nlp]
# Default batch size to use with nlp.pipe and nlp.evaluate
batch_size = 1000
...
[training.batcher.size]
@schedules = "compounding.v1"
start = 100
stop = 1000
compound = 1.001
```
The first `nlp.batch_size` does not make a change to the training procedure. Rather, it determines the batch size which might speed up calls to `nlp.pipe`.
The `[training.batcher.size]` setting is a reference to [a Thinc api](https://thinc.ai/docs/api-schedules#compounding) which increases the batch size as the training procedure moves along. I'm assuming you're interested in changing this setting since it influences the training.
Let me know if this helps 🙂
---
### Author:  [@koaning](https://support.prodi.gy/u/koaning)
#### Post date: [June 3, 2022, 7:19am UTC](https://support.prodi.gy/t/how-to-set-overrides/5684/3 "2022-06-03T07:19:18Z")
I think what's happening here is that Prodigy assumes a default `config.cfg` that does not have a `training.batch` setting to override. Instead, you might be able to change the `--training.batcher.size.start` and `--training.batcher.size.stop` values if you're using the default NER config.