Hugging Face's logo

2DamnWav
/
UrduWhisper

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
hf-asr-leaderboard
Generated from Trainer
Model card Files
xet
Metrics Community
Mwz commited on
Commit
c6dc8d2
·
verified ·
1 Parent(s): e3d3df4

End of training

Browse files
Files changed (3) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jan14_11-00-02_e33ea753476f/events.out.tfevents.1705230003.e33ea753476f.218.0 +2 -2
README.md CHANGED
@@ -7,7 +7,7 @@ tags:
7
  - hf-asr-leaderboard
8
  - generated_from_trainer
9
  datasets:
10
- - common_voice_16_0
11
  model-index:
12
  - name: ft_model
13
  results: []
@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.6440
24
- - Cer: 17.7300
25
 
26
  ## Model description
27
 
@@ -47,17 +47,17 @@ The following hyperparameters were used during training:
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
  - lr_scheduler_warmup_steps: 500
50
- - training_steps: 4000
51
  - mixed_precision_training: Native AMP
52
 
53
  ### Training results
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Cer |
56
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
57
- | 0.7421 | 0.19 | 1000 | 0.7957 | 22.9425 |
58
- | 0.5741 | 0.37 | 2000 | 0.7230 | 20.7530 |
59
- | 0.4998 | 0.56 | 3000 | 0.6686 | 19.8136 |
60
- | 0.7295 | 0.75 | 4000 | 0.6440 | 17.7300 |
61
 
62
 
63
  ### Framework versions
 
7
  - hf-asr-leaderboard
8
  - generated_from_trainer
9
  datasets:
10
+ - common_voice_15_0
11
  model-index:
12
  - name: ft_model
13
  results: []
 
20
 
21
  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.6428
24
+ - Cer: 20.3444
25
 
26
  ## Model description
27
 
 
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
  - lr_scheduler_warmup_steps: 500
50
+ - training_steps: 2000
51
  - mixed_precision_training: Native AMP
52
 
53
  ### Training results
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Cer |
56
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
57
+ | 0.3575 | 0.09 | 500 | 0.6935 | 21.6276 |
58
+ | 0.517 | 0.19 | 1000 | 0.6908 | 18.8399 |
59
+ | 0.4816 | 0.28 | 1500 | 0.6628 | 19.9623 |
60
+ | 0.5395 | 0.38 | 2000 | 0.6428 | 20.3444 |
61
 
62
 
63
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2744858ae545eb5a0f73e5d4eedb45dd914c066ff4f82ed29ffe8da196790adb
3
  size 290403936
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:327929782861bbc42c1241608df068d495d34a8d3debeec807e2987ed20f5915
3
  size 290403936
runs/Jan14_11-00-02_e33ea753476f/events.out.tfevents.1705230003.e33ea753476f.218.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:89a61e7fc6a67c7a8f7e24eb0c6908efd91bb058719e4cc64421eab1331ece7e
3
- size 18989
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5a8f473f5637654d4f7e3d8bdbaf0b0087b3cef9aeb39fbe755614c32065a5b
3
+ size 19343