Finished training.
Browse files- README.md +7 -7
- adapter_model.safetensors +1 -1
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
|
|
22 |
args: default
|
23 |
metrics:
|
24 |
- type: accuracy
|
25 |
-
value: 0.
|
26 |
name: accuracy
|
27 |
---
|
28 |
|
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
33 |
|
34 |
This model is a fine-tuned version of [moshew/bert-mini-sst2-distilled](https://huggingface.co/moshew/bert-mini-sst2-distilled) on the ag_news dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
-
- accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
|
|
64 |
|
65 |
| accuracy | train_loss | epoch |
|
66 |
|:--------:|:----------:|:-----:|
|
67 |
-
| 0.
|
68 |
-
| 0.
|
69 |
-
| 0.
|
70 |
-
| 0.
|
71 |
-
| 0.
|
72 |
|
73 |
|
74 |
### Framework versions
|
|
|
22 |
args: default
|
23 |
metrics:
|
24 |
- type: accuracy
|
25 |
+
value: 0.8921052631578947
|
26 |
name: accuracy
|
27 |
---
|
28 |
|
|
|
33 |
|
34 |
This model is a fine-tuned version of [moshew/bert-mini-sst2-distilled](https://huggingface.co/moshew/bert-mini-sst2-distilled) on the ag_news dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- accuracy: 0.8921
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
64 |
|
65 |
| accuracy | train_loss | epoch |
|
66 |
|:--------:|:----------:|:-----:|
|
67 |
+
| 0.2483 | None | 0 |
|
68 |
+
| 0.8812 | 0.4528 | 0 |
|
69 |
+
| 0.8854 | 0.3449 | 1 |
|
70 |
+
| 0.8901 | 0.3341 | 2 |
|
71 |
+
| 0.8921 | 0.3252 | 3 |
|
72 |
|
73 |
|
74 |
### Framework versions
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 22880
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a5eb44ad5ebd9d1e813c76c4e940a12fe5ce3d8ff2ce172ca72ce6634ebc0a86
|
3 |
size 22880
|