Commit
•
4f8f3d3
1
Parent(s):
557b4f8
update model card README.md
Browse files
README.md
CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
-
- Wer: 0.
|
23 |
|
24 |
## Model description
|
25 |
|
@@ -45,26 +45,40 @@ The following hyperparameters were used during training:
|
|
45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
- lr_scheduler_type: linear
|
47 |
- lr_scheduler_warmup_steps: 1000
|
48 |
-
- num_epochs:
|
49 |
- mixed_precision_training: Native AMP
|
50 |
|
51 |
### Training results
|
52 |
|
53 |
-
| Training Loss | Epoch
|
54 |
-
|
55 |
-
| 3.0132 | 7.25
|
56 |
-
| 2.9241 | 14.49
|
57 |
-
| 1.0766 | 21.74
|
58 |
-
| 0.8416 | 28.99
|
59 |
-
| 0.8048 | 36.23
|
60 |
-
| 0.7664 | 43.48
|
61 |
-
| 0.6571 | 50.72
|
62 |
-
| 0.7014 | 57.97
|
63 |
-
| 0.6171 | 65.22
|
64 |
-
| 0.6609 | 72.46
|
65 |
-
| 0.6318 | 79.71
|
66 |
-
| 0.6222 | 86.96
|
67 |
-
| 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
68 |
|
69 |
|
70 |
### Framework versions
|
|
|
18 |
|
19 |
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MULTILINGUAL_LIBRISPEECH - GERMAN dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.2398
|
22 |
+
- Wer: 0.1520
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
- lr_scheduler_type: linear
|
47 |
- lr_scheduler_warmup_steps: 1000
|
48 |
+
- num_epochs: 200.0
|
49 |
- mixed_precision_training: Native AMP
|
50 |
|
51 |
### Training results
|
52 |
|
53 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
54 |
+
|:-------------:|:------:|:-----:|:---------------:|:------:|
|
55 |
+
| 3.0132 | 7.25 | 500 | 2.9393 | 1.0 |
|
56 |
+
| 2.9241 | 14.49 | 1000 | 2.8734 | 1.0 |
|
57 |
+
| 1.0766 | 21.74 | 1500 | 0.2773 | 0.2488 |
|
58 |
+
| 0.8416 | 28.99 | 2000 | 0.2224 | 0.1990 |
|
59 |
+
| 0.8048 | 36.23 | 2500 | 0.2063 | 0.1792 |
|
60 |
+
| 0.7664 | 43.48 | 3000 | 0.2088 | 0.1748 |
|
61 |
+
| 0.6571 | 50.72 | 3500 | 0.2042 | 0.1668 |
|
62 |
+
| 0.7014 | 57.97 | 4000 | 0.2136 | 0.1649 |
|
63 |
+
| 0.6171 | 65.22 | 4500 | 0.2139 | 0.1641 |
|
64 |
+
| 0.6609 | 72.46 | 5000 | 0.2144 | 0.1621 |
|
65 |
+
| 0.6318 | 79.71 | 5500 | 0.2129 | 0.1600 |
|
66 |
+
| 0.6222 | 86.96 | 6000 | 0.2124 | 0.1582 |
|
67 |
+
| 0.608 | 94.2 | 6500 | 0.2255 | 0.1639 |
|
68 |
+
| 0.6099 | 101.45 | 7000 | 0.2265 | 0.1622 |
|
69 |
+
| 0.6069 | 108.7 | 7500 | 0.2246 | 0.1593 |
|
70 |
+
| 0.5929 | 115.94 | 8000 | 0.2323 | 0.1617 |
|
71 |
+
| 0.6218 | 123.19 | 8500 | 0.2287 | 0.1566 |
|
72 |
+
| 0.5751 | 130.43 | 9000 | 0.2275 | 0.1563 |
|
73 |
+
| 0.5181 | 137.68 | 9500 | 0.2316 | 0.1579 |
|
74 |
+
| 0.6306 | 144.93 | 10000 | 0.2372 | 0.1556 |
|
75 |
+
| 0.5874 | 152.17 | 10500 | 0.2362 | 0.1533 |
|
76 |
+
| 0.5546 | 159.42 | 11000 | 0.2342 | 0.1543 |
|
77 |
+
| 0.6294 | 166.67 | 11500 | 0.2381 | 0.1536 |
|
78 |
+
| 0.5989 | 173.91 | 12000 | 0.2360 | 0.1527 |
|
79 |
+
| 0.5697 | 181.16 | 12500 | 0.2399 | 0.1526 |
|
80 |
+
| 0.5379 | 188.41 | 13000 | 0.2375 | 0.1523 |
|
81 |
+
| 0.5022 | 195.65 | 13500 | 0.2395 | 0.1519 |
|
82 |
|
83 |
|
84 |
### Framework versions
|