Update model card
Browse files
README.md
CHANGED
@@ -9,24 +9,25 @@ license: mit
|
|
9 |
datasets:
|
10 |
- squad
|
11 |
pipeline_tag: question-answering
|
|
|
12 |
model-index:
|
13 |
- name: bert-sliding-window_epoch_1
|
14 |
results:
|
15 |
-
- task:
|
16 |
type: question-answering
|
17 |
name: Question Answering
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
18 |
dataset:
|
19 |
name: SQuAD
|
20 |
type: squad
|
21 |
-
config: plain_text
|
22 |
-
split: validation
|
23 |
-
metrics:
|
24 |
-
- type: exact_match
|
25 |
-
value: N/A
|
26 |
-
name: Exact Match
|
27 |
-
- type: f1
|
28 |
-
value: N/A
|
29 |
-
name: F1
|
30 |
---
|
31 |
|
32 |
# bert-sliding-window_epoch_1
|
@@ -39,9 +40,9 @@ This is a fine-tuned version of [DistilBERT](https://huggingface.co/distilbert-b
|
|
39 |
|
40 |
The model was trained with the following hyperparameters:
|
41 |
|
42 |
-
- Learning Rate:
|
43 |
-
- Batch Size:
|
44 |
-
- Epochs:
|
45 |
- Weight Decay: 0.01
|
46 |
|
47 |
## Intended uses & limitations
|
@@ -58,9 +59,9 @@ The model was trained on the SQuAD dataset, which consists of questions posed by
|
|
58 |
|
59 |
The model was trained with the following hyperparameters:
|
60 |
|
61 |
-
* learning_rate:
|
62 |
-
* batch_size:
|
63 |
-
* num_epochs:
|
64 |
* weight_decay: 0.01
|
65 |
|
66 |
## Uses
|
|
|
9 |
datasets:
|
10 |
- squad
|
11 |
pipeline_tag: question-answering
|
12 |
+
|
13 |
model-index:
|
14 |
- name: bert-sliding-window_epoch_1
|
15 |
results:
|
16 |
+
- task:
|
17 |
type: question-answering
|
18 |
name: Question Answering
|
19 |
+
metrics:
|
20 |
+
- type: exact_match
|
21 |
+
value: N/A # You can update this with actual metrics if available
|
22 |
+
name: Exact Match
|
23 |
+
- type: f1
|
24 |
+
value: N/A # You can update this with actual metrics if available
|
25 |
+
name: F1
|
26 |
dataset:
|
27 |
name: SQuAD
|
28 |
type: squad
|
29 |
+
config: plain_text # Adding the config field
|
30 |
+
split: validation # Adding the split field
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
31 |
---
|
32 |
|
33 |
# bert-sliding-window_epoch_1
|
|
|
40 |
|
41 |
The model was trained with the following hyperparameters:
|
42 |
|
43 |
+
- Learning Rate: 3e-05
|
44 |
+
- Batch Size: 8
|
45 |
+
- Epochs: 3
|
46 |
- Weight Decay: 0.01
|
47 |
|
48 |
## Intended uses & limitations
|
|
|
59 |
|
60 |
The model was trained with the following hyperparameters:
|
61 |
|
62 |
+
* learning_rate: 3e-05
|
63 |
+
* batch_size: 8
|
64 |
+
* num_epochs: 3
|
65 |
* weight_decay: 0.01
|
66 |
|
67 |
## Uses
|