Hugging Face's logo

EYEDOL
/
arabic-ASR

TensorBoard
Safetensors
Arabic
whisper
whisper-event
Generated from Trainer
Eval Results
Model card Files Metrics Community
EYEDOL commited on
Commit
4a830eb
·
verified ·
1 Parent(s): 7a81392

End of training

Browse files
Files changed (4) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Dec30_03-33-19_ec223925dec3/events.out.tfevents.1735529601.ec223925dec3.24.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -25,7 +25,7 @@ model-index:
25
  metrics:
26
  - name: Wer
27
  type: wer
28
- value: 105.79716002478916
29
  ---
30
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
35
 
36
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
37
  It achieves the following results on the evaluation set:
38
- - Loss: 0.3706
39
- - Wer: 105.7972
40
 
41
  ## Model description
42
 
@@ -62,15 +62,15 @@ The following hyperparameters were used during training:
62
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
63
  - lr_scheduler_type: linear
64
  - lr_scheduler_warmup_steps: 500
65
- - training_steps: 2000
66
  - mixed_precision_training: Native AMP
67
 
68
  ### Training results
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Wer |
71
  |:-------------:|:------:|:----:|:---------------:|:--------:|
72
- | 0.333 | 0.2060 | 1000 | 0.4185 | 95.8748 |
73
- | 0.2327 | 0.4119 | 2000 | 0.3706 | 105.7972 |
74
 
75
 
76
  ### Framework versions
 
25
  metrics:
26
  - name: Wer
27
  type: wer
28
+ value: 115.5525018187697
29
  ---
30
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
35
 
36
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
37
  It achieves the following results on the evaluation set:
38
+ - Loss: 0.3729
39
+ - Wer: 115.5525
40
 
41
  ## Model description
42
 
 
62
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
63
  - lr_scheduler_type: linear
64
  - lr_scheduler_warmup_steps: 500
65
+ - training_steps: 2500
66
  - mixed_precision_training: Native AMP
67
 
68
  ### Training results
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Wer |
71
  |:-------------:|:------:|:----:|:---------------:|:--------:|
72
+ | 0.3354 | 0.2060 | 1000 | 0.4203 | 94.8333 |
73
+ | 0.2281 | 0.4119 | 2000 | 0.3729 | 115.5525 |
74
 
75
 
76
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:121860f25f6a62429156567cf20dae86f50389e4c2015cf82ef1c9a83979a0e6
3
  size 966995080
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:00424c193b14bdfbffd63f8b1267921ee87ab1d313a43d00fb5cd85cd5d7b04a
3
  size 966995080
runs/Dec30_03-33-19_ec223925dec3/events.out.tfevents.1735529601.ec223925dec3.24.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:076e3be0da1b90d42a6f0d5ef0ed4968a4dc4bb485befa6dff94833d0d8dc1ce
3
+ size 27698
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9d4f7d42036b038a0b389a1fdb652078d9bd27c65591e6302a66c359d8596e35
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57cb1d5d1cdb793286b76ac33bc725eb59e13d18e8d16ffc3751b17711c7071a
3
  size 5240