End of training
Browse files- README.md +14 -14
- model.safetensors +1 -1
README.md
CHANGED
@@ -6,7 +6,7 @@ base_model: openai/whisper-tiny
|
|
6 |
tags:
|
7 |
- generated_from_trainer
|
8 |
datasets:
|
9 |
-
- ubulut/quran-verses
|
10 |
metrics:
|
11 |
- wer
|
12 |
model-index:
|
@@ -16,15 +16,15 @@ model-index:
|
|
16 |
name: Automatic Speech Recognition
|
17 |
type: automatic-speech-recognition
|
18 |
dataset:
|
19 |
-
name: quran-whisper-dataset
|
20 |
-
type: ubulut/quran-verses
|
21 |
config: default
|
22 |
split: None
|
23 |
args: 'config: ar, split: test'
|
24 |
metrics:
|
25 |
- name: Wer
|
26 |
type: wer
|
27 |
-
value:
|
28 |
---
|
29 |
|
30 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
# Whisper Tiny AR - Quran
|
34 |
|
35 |
-
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-whisper-dataset dataset.
|
36 |
It achieves the following results on the evaluation set:
|
37 |
-
- Loss:
|
38 |
-
- Wer:
|
39 |
|
40 |
## Model description
|
41 |
|
@@ -54,7 +54,7 @@ More information needed
|
|
54 |
### Training hyperparameters
|
55 |
|
56 |
The following hyperparameters were used during training:
|
57 |
-
- learning_rate:
|
58 |
- train_batch_size: 16
|
59 |
- eval_batch_size: 16
|
60 |
- seed: 42
|
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
|
|
66 |
|
67 |
### Training results
|
68 |
|
69 |
-
| Training Loss | Epoch | Step | Validation Loss | Wer
|
70 |
-
|
71 |
-
| 0.
|
72 |
-
| 0.
|
73 |
-
| 0.
|
74 |
-
| 0.
|
75 |
|
76 |
|
77 |
### Framework versions
|
|
|
6 |
tags:
|
7 |
- generated_from_trainer
|
8 |
datasets:
|
9 |
+
- ubulut/quran-verses-lite
|
10 |
metrics:
|
11 |
- wer
|
12 |
model-index:
|
|
|
16 |
name: Automatic Speech Recognition
|
17 |
type: automatic-speech-recognition
|
18 |
dataset:
|
19 |
+
name: quran-whisper-dataset-lite
|
20 |
+
type: ubulut/quran-verses-lite
|
21 |
config: default
|
22 |
split: None
|
23 |
args: 'config: ar, split: test'
|
24 |
metrics:
|
25 |
- name: Wer
|
26 |
type: wer
|
27 |
+
value: 94.30650684931507
|
28 |
---
|
29 |
|
30 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
# Whisper Tiny AR - Quran
|
34 |
|
35 |
+
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-whisper-dataset-lite dataset.
|
36 |
It achieves the following results on the evaluation set:
|
37 |
+
- Loss: 2.2877
|
38 |
+
- Wer: 94.3065
|
39 |
|
40 |
## Model description
|
41 |
|
|
|
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
|
|
|
66 |
|
67 |
### Training results
|
68 |
|
69 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
70 |
+
|:-------------:|:-------:|:----:|:---------------:|:--------:|
|
71 |
+
| 0.0026 | 17.2414 | 1000 | 2.0479 | 100.2997 |
|
72 |
+
| 0.0004 | 34.4828 | 2000 | 2.1836 | 94.0925 |
|
73 |
+
| 0.0002 | 51.7241 | 3000 | 2.2654 | 94.7346 |
|
74 |
+
| 0.0001 | 68.9655 | 4000 | 2.2877 | 94.3065 |
|
75 |
|
76 |
|
77 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 151061672
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cecf9c4b6969700c09f25eac432dcfdcf48ea04473236e67389d98daffe8397f
|
3 |
size 151061672
|