update model card README.md
Browse files
README.md
ADDED
@@ -0,0 +1,91 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- da
|
4 |
+
license: apache-2.0
|
5 |
+
tags:
|
6 |
+
- generated_from_trainer
|
7 |
+
datasets:
|
8 |
+
- mozilla-foundation/common_voice_13_0
|
9 |
+
metrics:
|
10 |
+
- wer
|
11 |
+
model-index:
|
12 |
+
- name: Whisper Base Danish - WasuratS
|
13 |
+
results:
|
14 |
+
- task:
|
15 |
+
name: Automatic Speech Recognition
|
16 |
+
type: automatic-speech-recognition
|
17 |
+
dataset:
|
18 |
+
name: Common Voice 13
|
19 |
+
type: mozilla-foundation/common_voice_13_0
|
20 |
+
config: da
|
21 |
+
split: test
|
22 |
+
args: da
|
23 |
+
metrics:
|
24 |
+
- name: Wer
|
25 |
+
type: wer
|
26 |
+
value: 39.73630725936735
|
27 |
+
---
|
28 |
+
|
29 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
30 |
+
should probably proofread and complete it, then remove this comment. -->
|
31 |
+
|
32 |
+
# Whisper Base Danish - WasuratS
|
33 |
+
|
34 |
+
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 13 dataset.
|
35 |
+
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 0.9795
|
37 |
+
- Wer Ortho: 45.5986
|
38 |
+
- Wer: 39.7363
|
39 |
+
|
40 |
+
## Model description
|
41 |
+
|
42 |
+
More information needed
|
43 |
+
|
44 |
+
## Intended uses & limitations
|
45 |
+
|
46 |
+
More information needed
|
47 |
+
|
48 |
+
## Training and evaluation data
|
49 |
+
|
50 |
+
More information needed
|
51 |
+
|
52 |
+
## Training procedure
|
53 |
+
|
54 |
+
### Training hyperparameters
|
55 |
+
|
56 |
+
The following hyperparameters were used during training:
|
57 |
+
- learning_rate: 1e-05
|
58 |
+
- train_batch_size: 16
|
59 |
+
- eval_batch_size: 16
|
60 |
+
- seed: 42
|
61 |
+
- distributed_type: multi-GPU
|
62 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
63 |
+
- lr_scheduler_type: linear
|
64 |
+
- lr_scheduler_warmup_steps: 50
|
65 |
+
- training_steps: 6000
|
66 |
+
- mixed_precision_training: Native AMP
|
67 |
+
|
68 |
+
### Training results
|
69 |
+
|
70 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|
71 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
|
72 |
+
| 0.5156 | 1.61 | 500 | 0.7387 | 47.8293 | 42.2586 |
|
73 |
+
| 0.2086 | 3.22 | 1000 | 0.7157 | 46.7087 | 41.0652 |
|
74 |
+
| 0.1439 | 4.82 | 1500 | 0.7300 | 46.5367 | 40.9610 |
|
75 |
+
| 0.0514 | 6.43 | 2000 | 0.7804 | 45.2963 | 39.5279 |
|
76 |
+
| 0.027 | 8.04 | 2500 | 0.8314 | 46.3126 | 40.3825 |
|
77 |
+
| 0.0133 | 9.65 | 3000 | 0.8739 | 44.8585 | 39.2777 |
|
78 |
+
| 0.0053 | 11.25 | 3500 | 0.9081 | 45.4839 | 39.7103 |
|
79 |
+
| 0.0041 | 12.86 | 4000 | 0.9347 | 45.4110 | 39.7050 |
|
80 |
+
| 0.0028 | 14.47 | 4500 | 0.9535 | 46.0624 | 40.3096 |
|
81 |
+
| 0.0024 | 16.08 | 5000 | 0.9673 | 45.6351 | 39.8979 |
|
82 |
+
| 0.0021 | 17.68 | 5500 | 0.9762 | 45.7862 | 39.9187 |
|
83 |
+
| 0.002 | 19.29 | 6000 | 0.9795 | 45.5986 | 39.7363 |
|
84 |
+
|
85 |
+
|
86 |
+
### Framework versions
|
87 |
+
|
88 |
+
- Transformers 4.29.2
|
89 |
+
- Pytorch 1.13.1+cu117
|
90 |
+
- Datasets 2.12.0
|
91 |
+
- Tokenizers 0.13.3
|