<p>The pull request #1327 (<a href="https://github.com/facebookresearch/fastText/pull/1327" rel="nofollow noreferrer">https://github.com/facebookresearch/fastText/pull/1327</a>)</p>
<p><strong>Allows for:</strong></p>
<ol>
<li>test after each epoch</li>
<li>checkpointing</li>
<li>training on large data which does not fit into memory (largest I tested was 1.6TB)</li>
<li>finetuning already trained models</li>
</ol>
<p>The trained model is indistinguishable from a model that was created by an original tool and can be used for inference by the old code.</p>

CC BY-SA 4.0
2023-03-22T18:43:45.320Z
2023-03-22T18:43:45.320Z
Sergei Alonichau
<p>I'm using FastText pre-trained-embedding for tackling a classification task, but I saw it supports also online training (incremental training) for adding domain-specific corpus.</p>

<p>How does it work? </p>

<p>As far as I know, starting from the "model.bin" file it retrains the model only on the new corpus updating the old word-vectors, is it right? </p>

CC BY-SA 4.0
2019-06-25T13:01:14.617Z
Are you referring to https://github.com/facebookresearch/fastText/pull/423 ? It seems the official FastText does not support incremental learning yet.
Borhan Kazimipour
CC BY-SA 4.0
2019-06-25T20:05:06.863Z
yeah exactly i saw that link. Probably i misunderstood. Anyway i opted for the pretrained one with Wikipedia corpus. Thanks for your answer, hoping and waiting for the official "incremental" features in Fast Textt as soon as possible :).
Alfonso
<classification><word-embedding><online-learning><incremental-learning>
How does FastText support online learning?
Alfonso
# How does FastText support online learning?

(Asked by: username_0 on 2019-06-25)

I'm using FastText pre-trained-embedding for tackling a classification task, but I saw it supports also online training (incremental training) for adding domain-specific corpus.

How does it work?

As far as I know, starting from the "model.bin" file it retrains the model only on the new corpus updating the old word-vectors, is it right?

**Tags:** classification, word-embedding, online-learning, incremental-learning

> **Comments:**
> **username_1**: Are you referring to https://github.com/facebookresearch/fastText/pull/423 ? It seems the official FastText does not support incremental learning yet.  
> **username_0**: yeah exactly i saw that link. Probably i misunderstood. Anyway i opted for the pretrained one with Wikipedia corpus. Thanks for your answer, hoping and waiting for the official "incremental" features in Fast Textt as soon as possible :).  

---

## 1 answers

### Answer by username_2 on 2023-03-22. Score: 1

The pull request #1327 (<https://github.com/facebookresearch/fastText/pull/1327>)

**Allows for:**

1. test after each epoch
2. checkpointing
3. training on large data which does not fit into memory (largest I tested was 1.6TB)
4. finetuning already trained models

The trained model is indistinguishable from a model that was created by an original tool and can be used for inference by the old code.


---

