Done!
Browse files
README.md
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
-
license:
|
| 4 |
-
base_model:
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
metrics:
|
|
@@ -9,8 +9,6 @@ metrics:
|
|
| 9 |
model-index:
|
| 10 |
- name: RoBERTa_AI_text_detection
|
| 11 |
results: []
|
| 12 |
-
language:
|
| 13 |
-
- en
|
| 14 |
---
|
| 15 |
|
| 16 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -18,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 18 |
|
| 19 |
# RoBERTa_AI_text_detection
|
| 20 |
|
| 21 |
-
This model is a fine-tuned version of [
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
-
- Loss: 0.
|
| 24 |
-
- F1: 0.
|
| 25 |
-
- Acc: 0.
|
| 26 |
|
| 27 |
## Model description
|
| 28 |
|
|
@@ -53,8 +51,8 @@ The following hyperparameters were used during training:
|
|
| 53 |
|
| 54 |
| Training Loss | Epoch | Step | Validation Loss | F1 | Acc |
|
| 55 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
|
| 56 |
-
| 0.
|
| 57 |
-
| 0.
|
| 58 |
|
| 59 |
|
| 60 |
### Framework versions
|
|
@@ -62,4 +60,4 @@ The following hyperparameters were used during training:
|
|
| 62 |
- Transformers 4.45.1
|
| 63 |
- Pytorch 2.4.0
|
| 64 |
- Datasets 3.0.1
|
| 65 |
-
- Tokenizers 0.20.0
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
base_model: distilbert-base-uncased
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
metrics:
|
|
|
|
| 9 |
model-index:
|
| 10 |
- name: RoBERTa_AI_text_detection
|
| 11 |
results: []
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 16 |
|
| 17 |
# RoBERTa_AI_text_detection
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.0526
|
| 22 |
+
- F1: 0.9844
|
| 23 |
+
- Acc: 0.9865
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 51 |
|
| 52 |
| Training Loss | Epoch | Step | Validation Loss | F1 | Acc |
|
| 53 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
|
| 54 |
+
| 0.0922 | 1.0 | 2460 | 0.0531 | 0.9827 | 0.9851 |
|
| 55 |
+
| 0.0297 | 2.0 | 4920 | 0.0526 | 0.9844 | 0.9865 |
|
| 56 |
|
| 57 |
|
| 58 |
### Framework versions
|
|
|
|
| 60 |
- Transformers 4.45.1
|
| 61 |
- Pytorch 2.4.0
|
| 62 |
- Datasets 3.0.1
|
| 63 |
+
- Tokenizers 0.20.0
|
runs/Nov29_12-32-11_d6dccfbb0153/events.out.tfevents.1732883532.d6dccfbb0153.30.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb86664ad42285f4494ea6c8e048500f00ba2f9a66b761f7aa226610ce657302
|
| 3 |
+
size 6358
|