update model card README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
|
|
|
| 4 |
- generated_from_trainer
|
| 5 |
datasets:
|
| 6 |
- glue
|
|
@@ -22,10 +23,10 @@ model-index:
|
|
| 22 |
metrics:
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
-
value: 0.
|
| 26 |
- name: F1
|
| 27 |
type: f1
|
| 28 |
-
value: 0.
|
| 29 |
---
|
| 30 |
|
| 31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -33,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 33 |
|
| 34 |
# NLP_sequences_example
|
| 35 |
|
| 36 |
-
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
-
- Loss: 0.
|
| 39 |
-
- Accuracy: 0.
|
| 40 |
-
- F1: 0.
|
| 41 |
|
| 42 |
## Model description
|
| 43 |
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
+
- text-classification
|
| 5 |
- generated_from_trainer
|
| 6 |
datasets:
|
| 7 |
- glue
|
|
|
|
| 23 |
metrics:
|
| 24 |
- name: Accuracy
|
| 25 |
type: accuracy
|
| 26 |
+
value: 0.664927536231884
|
| 27 |
- name: F1
|
| 28 |
type: f1
|
| 29 |
+
value: 0.7987465181058496
|
| 30 |
---
|
| 31 |
|
| 32 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 34 |
|
| 35 |
# NLP_sequences_example
|
| 36 |
|
| 37 |
+
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue and the mrpc datasets.
|
| 38 |
It achieves the following results on the evaluation set:
|
| 39 |
+
- Loss: 0.6412
|
| 40 |
+
- Accuracy: 0.6649
|
| 41 |
+
- F1: 0.7987
|
| 42 |
|
| 43 |
## Model description
|
| 44 |
|