chunwoolee0
commited on
Commit
•
2792eff
1
Parent(s):
21b535a
Update README.md
Browse files
README.md
CHANGED
@@ -8,12 +8,11 @@ model-index:
|
|
8 |
results: []
|
9 |
---
|
10 |
|
11 |
-
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
12 |
-
probably proofread and complete it, then remove this comment. -->
|
13 |
|
14 |
# chunwoolee0/distilroberta-base-finetuned-wikitext2
|
15 |
|
16 |
-
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base)
|
|
|
17 |
It achieves the following results on the evaluation set:
|
18 |
- Train Loss: 2.1557
|
19 |
- Validation Loss: 1.8964
|
@@ -21,18 +20,19 @@ It achieves the following results on the evaluation set:
|
|
21 |
|
22 |
## Model description
|
23 |
|
24 |
-
|
25 |
|
26 |
## Intended uses & limitations
|
27 |
|
28 |
-
|
29 |
|
30 |
## Training and evaluation data
|
31 |
|
32 |
-
|
33 |
|
34 |
## Training procedure
|
35 |
|
|
|
36 |
### Training hyperparameters
|
37 |
|
38 |
The following hyperparameters were used during training:
|
|
|
8 |
results: []
|
9 |
---
|
10 |
|
|
|
|
|
11 |
|
12 |
# chunwoolee0/distilroberta-base-finetuned-wikitext2
|
13 |
|
14 |
+
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base)
|
15 |
+
on an [wikitext,wikitext-2-raw-v1](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-raw-v1/test) dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
- Train Loss: 2.1557
|
18 |
- Validation Loss: 1.8964
|
|
|
20 |
|
21 |
## Model description
|
22 |
|
23 |
+
This model is a distilled version of the RoBERTa-base model. It follows the same training procedure as DistilBERT.
|
24 |
|
25 |
## Intended uses & limitations
|
26 |
|
27 |
+
This is an exercise for finetuning of nlp language modeling for fill-mask.
|
28 |
|
29 |
## Training and evaluation data
|
30 |
|
31 |
+
Wikitext, wikitext-2-raw-v1 is used
|
32 |
|
33 |
## Training procedure
|
34 |
|
35 |
+
|
36 |
### Training hyperparameters
|
37 |
|
38 |
The following hyperparameters were used during training:
|