Update dimensions
Browse files
README.md
CHANGED
|
@@ -40,6 +40,14 @@ This way, the model learns an inner representation of the English language that
|
|
| 40 |
useful for downstream tasks: if you have a dataset of labeled sentences for instance, you can train a standard
|
| 41 |
classifier using the features produced by the BERT model as inputs.
|
| 42 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
## Intended uses & limitations
|
| 44 |
|
| 45 |
You can use the raw model for either masked language modeling or next sentence prediction, but it's mostly intended to
|
|
|
|
| 40 |
useful for downstream tasks: if you have a dataset of labeled sentences for instance, you can train a standard
|
| 41 |
classifier using the features produced by the BERT model as inputs.
|
| 42 |
|
| 43 |
+
|
| 44 |
+
This model has the following configuration:
|
| 45 |
+
|
| 46 |
+
- 24-layer
|
| 47 |
+
- 1024 hidden dimension
|
| 48 |
+
- 16 attention heads
|
| 49 |
+
- 336M parameters.
|
| 50 |
+
|
| 51 |
## Intended uses & limitations
|
| 52 |
|
| 53 |
You can use the raw model for either masked language modeling or next sentence prediction, but it's mostly intended to
|