Baselhany commited on
Commit
064bc5c
·
verified ·
1 Parent(s): 83ad54a

Model save

Browse files
README.md CHANGED
@@ -1,27 +1,25 @@
1
  ---
2
  library_name: transformers
3
- language:
4
- - ar
5
  license: apache-2.0
6
- base_model: openai/whisper-base
7
  tags:
8
  - generated_from_trainer
9
  metrics:
10
  - wer
11
  model-index:
12
- - name: Whisper base AR - BA
13
  results: []
14
  ---
15
 
16
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
  should probably proofread and complete it, then remove this comment. -->
18
 
19
- # Whisper base AR - BA
20
 
21
- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the quran-ayat-speech-to-text dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.1013
24
- - Wer: 0.2231
25
 
26
  ## Model description
27
 
@@ -49,7 +47,7 @@ The following hyperparameters were used during training:
49
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
50
  - lr_scheduler_type: linear
51
  - lr_scheduler_warmup_steps: 500
52
- - num_epochs: 12
53
  - mixed_precision_training: Native AMP
54
 
55
  ### Training results
@@ -72,6 +70,11 @@ The following hyperparameters were used during training:
72
  | 1.6703 | 9.9763 | 14000 | 0.0979 | 0.2178 |
73
  | 1.5747 | 10.6884 | 15000 | 0.0973 | 0.2138 |
74
  | 1.5171 | 11.4005 | 16000 | 0.0972 | 0.2224 |
 
 
 
 
 
75
 
76
 
77
  ### Framework versions
 
1
  ---
2
  library_name: transformers
 
 
3
  license: apache-2.0
4
+ base_model: Baselhany/Distilation_Whisper_base_CKP_256
5
  tags:
6
  - generated_from_trainer
7
  metrics:
8
  - wer
9
  model-index:
10
+ - name: Distilation_Whisper_base_CKP_256
11
  results: []
12
  ---
13
 
14
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
  should probably proofread and complete it, then remove this comment. -->
16
 
17
+ # Distilation_Whisper_base_CKP_256
18
 
19
+ This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_CKP_256](https://huggingface.co/Baselhany/Distilation_Whisper_base_CKP_256) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.1005
22
+ - Wer: 0.2236
23
 
24
  ## Model description
25
 
 
47
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
  - lr_scheduler_type: linear
49
  - lr_scheduler_warmup_steps: 500
50
+ - num_epochs: 15
51
  - mixed_precision_training: Native AMP
52
 
53
  ### Training results
 
70
  | 1.6703 | 9.9763 | 14000 | 0.0979 | 0.2178 |
71
  | 1.5747 | 10.6884 | 15000 | 0.0973 | 0.2138 |
72
  | 1.5171 | 11.4005 | 16000 | 0.0972 | 0.2224 |
73
+ | 1.5088 | 12.1169 | 17000 | 0.0972 | 0.2188 |
74
+ | 1.6396 | 12.8295 | 18000 | 0.0972 | 0.2203 |
75
+ | 1.4925 | 13.5416 | 19000 | 0.0977 | 0.2283 |
76
+ | 1.4158 | 14.2537 | 20000 | 0.0973 | 0.2147 |
77
+ | 1.4426 | 14.9663 | 21000 | 0.0968 | 0.2165 |
78
 
79
 
80
  ### Framework versions
runs/Jun08_16-24-31_bcee4ad4e97b/events.out.tfevents.1749416287.bcee4ad4e97b.19.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:767d8bfb31e8d0e02f719010931841ddf73247c2112e6892ce730913f77a14af
3
+ size 412