Update README.md
Browse files
README.md
CHANGED
|
@@ -22,9 +22,7 @@ This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://hugg
|
|
| 22 |
|
| 23 |
- **Validation Loss**: `3.1201`
|
| 24 |
- **Weighted F1 Score**: `0.5475`
|
| 25 |
-
|
| 26 |
---
|
| 27 |
-
|
| 28 |
## Model Description
|
| 29 |
|
| 30 |
**Architecture**: This model is based on [ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base), an advanced Transformer architecture featuring Rotary Position Embeddings (RoPE), Flash Attention, and a native long context window (up to 8,192 tokens). For the classification task, a linear classification head is added on top of the BERT encoder outputs.
|
|
@@ -36,9 +34,7 @@ This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://hugg
|
|
| 36 |
- Automatically tagging news headlines with appropriate categories in editorial pipelines.
|
| 37 |
- Classifying short text blurbs for social media or aggregator systems.
|
| 38 |
- Building a quick filter for content-based recommendation engines.
|
| 39 |
-
|
| 40 |
---
|
| 41 |
-
|
| 42 |
## Intended Uses & Limitations
|
| 43 |
|
| 44 |
- **Intended for**: Users who need to categorize short English news texts into broad topics.
|
|
|
|
| 22 |
|
| 23 |
- **Validation Loss**: `3.1201`
|
| 24 |
- **Weighted F1 Score**: `0.5475`
|
|
|
|
| 25 |
---
|
|
|
|
| 26 |
## Model Description
|
| 27 |
|
| 28 |
**Architecture**: This model is based on [ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base), an advanced Transformer architecture featuring Rotary Position Embeddings (RoPE), Flash Attention, and a native long context window (up to 8,192 tokens). For the classification task, a linear classification head is added on top of the BERT encoder outputs.
|
|
|
|
| 34 |
- Automatically tagging news headlines with appropriate categories in editorial pipelines.
|
| 35 |
- Classifying short text blurbs for social media or aggregator systems.
|
| 36 |
- Building a quick filter for content-based recommendation engines.
|
|
|
|
| 37 |
---
|
|
|
|
| 38 |
## Intended Uses & Limitations
|
| 39 |
|
| 40 |
- **Intended for**: Users who need to categorize short English news texts into broad topics.
|