Update README.md
Browse files
README.md
CHANGED
|
@@ -4,9 +4,13 @@ tags:
|
|
| 4 |
- generated_from_trainer
|
| 5 |
metrics:
|
| 6 |
- accuracy
|
|
|
|
| 7 |
model-index:
|
| 8 |
- name: mdeberta-v3-base-subjectivity-sentiment-multilingual
|
| 9 |
results: []
|
|
|
|
|
|
|
|
|
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -14,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# mdeberta-v3-base-subjectivity-sentiment-multilingual
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [](https://huggingface.co/) on the
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
- Loss: 0.7762
|
| 20 |
- Macro F1: 0.7580
|
|
@@ -67,4 +71,4 @@ The following hyperparameters were used during training:
|
|
| 67 |
- Transformers 4.49.0
|
| 68 |
- Pytorch 2.5.1+cu121
|
| 69 |
- Datasets 3.3.1
|
| 70 |
-
- Tokenizers 0.21.0
|
|
|
|
| 4 |
- generated_from_trainer
|
| 5 |
metrics:
|
| 6 |
- accuracy
|
| 7 |
+
- f1
|
| 8 |
model-index:
|
| 9 |
- name: mdeberta-v3-base-subjectivity-sentiment-multilingual
|
| 10 |
results: []
|
| 11 |
+
license: mit
|
| 12 |
+
base_model:
|
| 13 |
+
- microsoft/mdeberta-v3-base
|
| 14 |
---
|
| 15 |
|
| 16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 18 |
|
| 19 |
# mdeberta-v3-base-subjectivity-sentiment-multilingual
|
| 20 |
|
| 21 |
+
This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the [CheckThat! Lab Task 1 Subjectivity Detection at CLEF 2025](arxiv.org/abs/2507.11764).
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
- Loss: 0.7762
|
| 24 |
- Macro F1: 0.7580
|
|
|
|
| 71 |
- Transformers 4.49.0
|
| 72 |
- Pytorch 2.5.1+cu121
|
| 73 |
- Datasets 3.3.1
|
| 74 |
+
- Tokenizers 0.21.0
|