Commit
•
d55ab63
1
Parent(s):
fba439d
update model card README.md
Browse files
README.md
CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
This model was trained from scratch on the librispeech_asr dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss:
|
19 |
-
- Wer: 1.
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -35,7 +35,7 @@ More information needed
|
|
35 |
### Training hyperparameters
|
36 |
|
37 |
The following hyperparameters were used during training:
|
38 |
-
- learning_rate: 0.
|
39 |
- train_batch_size: 8
|
40 |
- eval_batch_size: 8
|
41 |
- seed: 42
|
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
|
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
54 |
-
|
|
55 |
-
|
|
56 |
-
|
|
57 |
-
|
|
58 |
-
|
|
59 |
-
|
|
60 |
-
|
|
61 |
-
|
|
62 |
-
|
|
63 |
-
|
|
64 |
|
65 |
|
66 |
### Framework versions
|
|
|
15 |
|
16 |
This model was trained from scratch on the librispeech_asr dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 6.5541
|
19 |
+
- Wer: 1.9877
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
35 |
### Training hyperparameters
|
36 |
|
37 |
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 0.0001
|
39 |
- train_batch_size: 8
|
40 |
- eval_batch_size: 8
|
41 |
- seed: 42
|
|
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
54 |
+
| 1.9364 | 0.28 | 500 | 6.3613 | 1.9833 |
|
55 |
+
| 1.941 | 0.56 | 1000 | 5.6974 | 1.9746 |
|
56 |
+
| 2.3312 | 0.84 | 1500 | 5.6979 | 1.7345 |
|
57 |
+
| 2.8004 | 1.12 | 2000 | 6.0436 | 1.6787 |
|
58 |
+
| 3.0003 | 1.4 | 2500 | 6.0955 | 1.7625 |
|
59 |
+
| 2.9677 | 1.68 | 3000 | 6.2841 | 1.6731 |
|
60 |
+
| 2.2759 | 1.96 | 3500 | 6.3094 | 1.7494 |
|
61 |
+
| 2.2989 | 2.24 | 4000 | 6.9891 | 1.9115 |
|
62 |
+
| 1.8814 | 2.52 | 4500 | 6.9818 | 1.9832 |
|
63 |
+
| 2.658 | 2.8 | 5000 | 6.5541 | 1.9877 |
|
64 |
|
65 |
|
66 |
### Framework versions
|