Model save
Browse files- README.md +8 -8
- model.safetensors +1 -1
README.md
CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
19 |
|
20 |
This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on the None dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
-
- Loss: 1.
|
23 |
-
- Accuracy: 0.
|
24 |
-
- F1: 0.
|
25 |
|
26 |
## Model description
|
27 |
|
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
|
|
53 |
|
54 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
55 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
|
56 |
-
| No log | 1.0 | 487 | 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
|
62 |
|
63 |
### Framework versions
|
|
|
19 |
|
20 |
This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on the None dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 1.1495
|
23 |
+
- Accuracy: 0.7577
|
24 |
+
- F1: 0.7578
|
25 |
|
26 |
## Model description
|
27 |
|
|
|
53 |
|
54 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
55 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
|
56 |
+
| No log | 1.0 | 487 | 0.6929 | 0.7094 | 0.7080 |
|
57 |
+
| 0.8492 | 2.0 | 974 | 0.7332 | 0.7515 | 0.7492 |
|
58 |
+
| 0.5179 | 3.0 | 1461 | 0.8603 | 0.7444 | 0.7428 |
|
59 |
+
| 0.3549 | 4.0 | 1948 | 1.1495 | 0.7577 | 0.7578 |
|
60 |
+
| 0.2481 | 5.0 | 2435 | 1.2338 | 0.7556 | 0.7552 |
|
61 |
|
62 |
|
63 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 541320452
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eae7341a5e3287915165a2b43d40a529dd76e60cb9195da5de3b251f18c356e9
|
3 |
size 541320452
|