Cafet commited on
Commit
d54c63a
1 Parent(s): e51b7e0

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -18
README.md CHANGED
@@ -1,6 +1,5 @@
1
  ---
2
  license: apache-2.0
3
- base_model: bayartsogt/whisper-small-mn-8
4
  tags:
5
  - generated_from_trainer
6
  datasets:
@@ -8,6 +7,9 @@ datasets:
8
  model-index:
9
  - name: whisper-small-mongolian
10
  results: []
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,8 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # whisper-small-mongolian
17
 
18
- This model is a fine-tuned version of [bayartsogt/whisper-small-mn-8](https://huggingface.co/bayartsogt/whisper-small-mn-8) on the common_voice_11_0 dataset.
19
- It achieves the following results on the evaluation set:
20
  - eval_loss: 0.0255
21
  - eval_wer: 3.9864
22
  - eval_runtime: 1588.8988
@@ -25,20 +25,6 @@ It achieves the following results on the evaluation set:
25
  - epoch: 2.3112
26
  - step: 1500
27
 
28
- ## Model description
29
-
30
- More information needed
31
-
32
- ## Intended uses & limitations
33
-
34
- More information needed
35
-
36
- ## Training and evaluation data
37
-
38
- More information needed
39
-
40
- ## Training procedure
41
-
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
@@ -57,4 +43,4 @@ The following hyperparameters were used during training:
57
  - Transformers 4.40.1
58
  - Pytorch 2.2.1+cu121
59
  - Datasets 2.19.0
60
- - Tokenizers 0.19.1
 
1
  ---
2
  license: apache-2.0
 
3
  tags:
4
  - generated_from_trainer
5
  datasets:
 
7
  model-index:
8
  - name: whisper-small-mongolian
9
  results: []
10
+ language:
11
+ - mn
12
+ pipeline_tag: automatic-speech-recognition
13
  ---
14
 
15
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
17
 
18
  # whisper-small-mongolian
19
 
 
 
20
  - eval_loss: 0.0255
21
  - eval_wer: 3.9864
22
  - eval_runtime: 1588.8988
 
25
  - epoch: 2.3112
26
  - step: 1500
27
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
  ### Training hyperparameters
29
 
30
  The following hyperparameters were used during training:
 
43
  - Transformers 4.40.1
44
  - Pytorch 2.2.1+cu121
45
  - Datasets 2.19.0
46
+ - Tokenizers 0.19.1