skpawar1305
commited on
Commit
•
27faa9e
1
Parent(s):
461e6ef
update model card README.md
Browse files
README.md
CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 1.
|
20 |
-
- Accuracy: 0.
|
21 |
|
22 |
## Model description
|
23 |
|
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
|
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
54 |
-
| No log | 1.0 | 1 | 1.
|
55 |
-
| No log | 2.0 | 2 | 1.
|
56 |
-
| No log | 3.0 | 3 | 1.
|
57 |
-
| No log | 4.0 | 4 | 1.
|
58 |
-
| No log | 5.0 | 5 | 1.
|
59 |
|
60 |
|
61 |
### Framework versions
|
62 |
|
63 |
- Transformers 4.20.1
|
64 |
-
- Pytorch 1.11.0+
|
65 |
- Datasets 2.3.2
|
66 |
- Tokenizers 0.12.1
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 1.8769
|
20 |
+
- Accuracy: 0.625
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
54 |
+
| No log | 1.0 | 1 | 1.9637 | 0.0417 |
|
55 |
+
| No log | 2.0 | 2 | 1.9137 | 0.4167 |
|
56 |
+
| No log | 3.0 | 3 | 1.8769 | 0.625 |
|
57 |
+
| No log | 4.0 | 4 | 1.8548 | 0.625 |
|
58 |
+
| No log | 5.0 | 5 | 1.8428 | 0.625 |
|
59 |
|
60 |
|
61 |
### Framework versions
|
62 |
|
63 |
- Transformers 4.20.1
|
64 |
+
- Pytorch 1.11.0+cu102
|
65 |
- Datasets 2.3.2
|
66 |
- Tokenizers 0.12.1
|