Hugging Face's logo

akhooli
/
whisper-small-ar2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
akhooli commited on
Commit
c7c9635
·
verified ·
1 Parent(s): 268e5b8

End of training

Browse files
Files changed (6) hide show
  1. README.md +4 -4
  2. all_results.json +15 -0
  3. eval_results.json +9 -0
  4. runs/Dec26_11-34-23_2969512e7c3f/events.out.tfevents.1735215754.2969512e7c3f.118.1 +3 -0
  5. train_results.json +9 -0
  6. trainer_state.json +74 -0
README.md CHANGED
@@ -5,7 +5,7 @@ base_model: openai/whisper-small
5
  tags:
6
  - generated_from_trainer
7
  datasets:
8
- - common_voice_17_0
9
  metrics:
10
  - wer
11
  model-index:
@@ -15,8 +15,8 @@ model-index:
15
  name: Automatic Speech Recognition
16
  type: automatic-speech-recognition
17
  dataset:
18
- name: common_voice_17_0
19
- type: common_voice_17_0
20
  config: ar
21
  split: None
22
  args: ar
@@ -31,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  # whisper-small-ar2
33
 
34
- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
35
  It achieves the following results on the evaluation set:
36
  - Loss: 1.2796
37
  - Wer: 0.7637
 
5
  tags:
6
  - generated_from_trainer
7
  datasets:
8
+ - mozilla-foundation/common_voice_17_0
9
  metrics:
10
  - wer
11
  model-index:
 
15
  name: Automatic Speech Recognition
16
  type: automatic-speech-recognition
17
  dataset:
18
+ name: mozilla-foundation/common_voice_17_0 ar
19
+ type: mozilla-foundation/common_voice_17_0
20
  config: ar
21
  split: None
22
  args: ar
 
31
 
32
  # whisper-small-ar2
33
 
34
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 ar dataset.
35
  It achieves the following results on the evaluation set:
36
  - Loss: 1.2796
37
  - Wer: 0.7637
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 41.666666666666664,
3
+ "eval_loss": 1.2795981168746948,
4
+ "eval_runtime": 20.697,
5
+ "eval_samples": 85,
6
+ "eval_samples_per_second": 4.107,
7
+ "eval_steps_per_second": 0.145,
8
+ "eval_wer": 0.763668430335097,
9
+ "total_flos": 4.617366645252293e+18,
10
+ "train_loss": 0.16236594557762146,
11
+ "train_runtime": 2555.1718,
12
+ "train_samples": 360,
13
+ "train_samples_per_second": 6.262,
14
+ "train_steps_per_second": 0.196
15
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 41.666666666666664,
3
+ "eval_loss": 1.2795981168746948,
4
+ "eval_runtime": 20.697,
5
+ "eval_samples": 85,
6
+ "eval_samples_per_second": 4.107,
7
+ "eval_steps_per_second": 0.145,
8
+ "eval_wer": 0.763668430335097
9
+ }
runs/Dec26_11-34-23_2969512e7c3f/events.out.tfevents.1735215754.2969512e7c3f.118.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c3f2ed977aa0efad3f444d21a9e3dae57133c92c3acafdb8718f0d847d35a15
3
+ size 406
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 41.666666666666664,
3
+ "total_flos": 4.617366645252293e+18,
4
+ "train_loss": 0.16236594557762146,
5
+ "train_runtime": 2555.1718,
6
+ "train_samples": 360,
7
+ "train_samples_per_second": 6.262,
8
+ "train_steps_per_second": 0.196
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 41.666666666666664,
5
+ "eval_steps": 250,
6
+ "global_step": 500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 20.833333333333332,
13
+ "grad_norm": 0.165288046002388,
14
+ "learning_rate": 4.92e-06,
15
+ "loss": 0.3226,
16
+ "step": 250
17
+ },
18
+ {
19
+ "epoch": 20.833333333333332,
20
+ "eval_loss": 1.0812960863113403,
21
+ "eval_runtime": 20.5975,
22
+ "eval_samples_per_second": 4.127,
23
+ "eval_steps_per_second": 0.146,
24
+ "eval_wer": 0.7583774250440917,
25
+ "step": 250
26
+ },
27
+ {
28
+ "epoch": 41.666666666666664,
29
+ "grad_norm": 0.01815676875412464,
30
+ "learning_rate": 9.920000000000002e-06,
31
+ "loss": 0.0021,
32
+ "step": 500
33
+ },
34
+ {
35
+ "epoch": 41.666666666666664,
36
+ "eval_loss": 1.2795981168746948,
37
+ "eval_runtime": 20.8995,
38
+ "eval_samples_per_second": 4.067,
39
+ "eval_steps_per_second": 0.144,
40
+ "eval_wer": 0.763668430335097,
41
+ "step": 500
42
+ },
43
+ {
44
+ "epoch": 41.666666666666664,
45
+ "step": 500,
46
+ "total_flos": 4.617366645252293e+18,
47
+ "train_loss": 0.16236594557762146,
48
+ "train_runtime": 2555.1718,
49
+ "train_samples_per_second": 6.262,
50
+ "train_steps_per_second": 0.196
51
+ }
52
+ ],
53
+ "logging_steps": 250,
54
+ "max_steps": 500,
55
+ "num_input_tokens_seen": 0,
56
+ "num_train_epochs": 42,
57
+ "save_steps": 500,
58
+ "stateful_callbacks": {
59
+ "TrainerControl": {
60
+ "args": {
61
+ "should_epoch_stop": false,
62
+ "should_evaluate": false,
63
+ "should_log": false,
64
+ "should_save": true,
65
+ "should_training_stop": true
66
+ },
67
+ "attributes": {}
68
+ }
69
+ },
70
+ "total_flos": 4.617366645252293e+18,
71
+ "train_batch_size": 16,
72
+ "trial_name": null,
73
+ "trial_params": null
74
+ }