Vadim Borisov
commited on
Update README.md
Browse files
README.md
CHANGED
@@ -6,7 +6,7 @@ tags:
|
|
6 |
license: apache-2.0
|
7 |
---
|
8 |
|
9 |
-
# BERT-based Sentiment Classification
|
10 |
|
11 |
## Model Details
|
12 |
- **Model Name:** tabularisai/bert-base-uncased-sentiment-five-classes
|
@@ -16,11 +16,11 @@ license: apache-2.0
|
|
16 |
|
17 |
## Model Description
|
18 |
|
19 |
-
This model is a fine-tuned version of `bert-base-uncased` for sentiment analysis.
|
20 |
|
21 |
### Training Data
|
22 |
|
23 |
-
The model was fine-tuned on synthetic data, which allows for targeted training on a diverse range of sentiment expressions without the limitations often found in real-world datasets.
|
24 |
|
25 |
### Training Procedure
|
26 |
|
@@ -117,4 +117,4 @@ Will be included
|
|
117 |
|
118 |
## Contact
|
119 |
|
120 |
-
For questions, feedback, or issues related to this model, please
|
|
|
6 |
license: apache-2.0
|
7 |
---
|
8 |
|
9 |
+
# BERT-based Sentiment Classification Mode
|
10 |
|
11 |
## Model Details
|
12 |
- **Model Name:** tabularisai/bert-base-uncased-sentiment-five-classes
|
|
|
16 |
|
17 |
## Model Description
|
18 |
|
19 |
+
This model is a fine-tuned version of `bert-base-uncased` for sentiment analysis. **Trained exclusively on syntethic data produced by SOTA LLMs: Llama3, Gemma2, and more**
|
20 |
|
21 |
### Training Data
|
22 |
|
23 |
+
The model was fine-tuned on synthetic data, which allows for targeted training on a diverse range of sentiment expressions without the limitations often found in real-world datasets.
|
24 |
|
25 |
### Training Procedure
|
26 |
|
|
|
117 |
|
118 |
## Contact
|
119 |
|
120 |
+
For questions, feedback, or issues related to this model, please `info@tabularis.ai`
|