Hugging Face's logo

ymoslem
/
whisper-medium-ga2en-v5.3.1-4k-r

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
6 datasets
Irish
English
whisper
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
ymoslem commited on
Commit
f4c129b
•
1 Parent(s): bf7f357

End of training

Browse files
Files changed (1) hide show
  1. README.md +81 -4
README.md CHANGED
@@ -1,19 +1,50 @@
1
  ---
 
 
 
2
  license: apache-2.0
3
  base_model: openai/whisper-medium
4
  tags:
5
  - generated_from_trainer
 
 
 
 
 
 
 
 
 
 
6
  model-index:
7
- - name: whisper-medium-ga2en-v5.3.1-4k-r
8
- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
- # whisper-medium-ga2en-v5.3.1-4k-r
15
 
16
- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 
 
 
 
 
17
 
18
  ## Model description
19
 
@@ -42,6 +73,52 @@ The following hyperparameters were used during training:
42
  - training_steps: 4000
43
  - mixed_precision_training: Native AMP
44
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
45
  ### Framework versions
46
 
47
  - Transformers 4.41.2
 
1
  ---
2
+ language:
3
+ - ga
4
+ - en
5
  license: apache-2.0
6
  base_model: openai/whisper-medium
7
  tags:
8
  - generated_from_trainer
9
+ datasets:
10
+ - ymoslem/IWSLT2023-GA-EN
11
+ - ymoslem/FLEURS-GA-EN
12
+ - ymoslem/BitesizeIrish-GA-EN
13
+ - ymoslem/SpokenWords-GA-EN-MTed
14
+ - ymoslem/Tatoeba-Speech-Irish
15
+ - ymoslem/Wikimedia-Speech-Irish
16
+ metrics:
17
+ - bleu
18
+ - wer
19
  model-index:
20
+ - name: Whisper Medium GA-EN Speech Translation
21
+ results:
22
+ - task:
23
+ name: Automatic Speech Recognition
24
+ type: automatic-speech-recognition
25
+ dataset:
26
+ name: IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia
27
+ type: ymoslem/IWSLT2023-GA-EN
28
+ metrics:
29
+ - name: Bleu
30
+ type: bleu
31
+ value: 29.54
32
+ - name: Wer
33
+ type: wer
34
+ value: 62.40432237730752
35
  ---
36
 
37
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
38
  should probably proofread and complete it, then remove this comment. -->
39
 
40
+ # Whisper Medium GA-EN Speech Translation
41
 
42
+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
43
+ It achieves the following results on the evaluation set:
44
+ - Loss: 1.1929
45
+ - Bleu: 29.54
46
+ - Chrf: 51.58
47
+ - Wer: 62.4043
48
 
49
  ## Model description
50
 
 
73
  - training_steps: 4000
74
  - mixed_precision_training: Native AMP
75
 
76
+ ### Training results
77
+
78
+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Wer |
79
+ |:-------------:|:------:|:----:|:---------------:|:-----:|:-----:|:--------:|
80
+ | 2.4382 | 0.0109 | 100 | 2.1114 | 3.07 | 16.85 | 171.0491 |
81
+ | 2.6151 | 0.0219 | 200 | 2.0207 | 6.25 | 23.02 | 126.9698 |
82
+ | 2.5699 | 0.0328 | 300 | 1.8660 | 5.71 | 24.03 | 155.5606 |
83
+ | 2.3084 | 0.0438 | 400 | 1.8084 | 9.87 | 28.45 | 129.0860 |
84
+ | 2.3327 | 0.0547 | 500 | 1.7823 | 12.01 | 31.92 | 102.7915 |
85
+ | 2.1495 | 0.0657 | 600 | 1.7238 | 13.97 | 32.4 | 98.6042 |
86
+ | 2.2164 | 0.0766 | 700 | 1.6538 | 11.21 | 33.19 | 146.0153 |
87
+ | 2.0071 | 0.0876 | 800 | 1.7038 | 14.34 | 35.72 | 96.9383 |
88
+ | 1.8334 | 0.0985 | 900 | 1.6329 | 16.51 | 37.23 | 96.8032 |
89
+ | 1.8359 | 0.1095 | 1000 | 1.6637 | 17.87 | 35.94 | 84.4665 |
90
+ | 1.7703 | 0.1204 | 1100 | 1.5626 | 19.54 | 39.02 | 79.7839 |
91
+ | 1.5805 | 0.1314 | 1200 | 1.5618 | 20.19 | 40.4 | 77.8028 |
92
+ | 1.4545 | 0.1423 | 1300 | 1.5599 | 13.88 | 35.53 | 112.5619 |
93
+ | 1.5177 | 0.1533 | 1400 | 1.4880 | 18.79 | 40.11 | 84.6916 |
94
+ | 1.6335 | 0.1642 | 1500 | 1.4996 | 16.41 | 38.64 | 96.9833 |
95
+ | 1.3809 | 0.1752 | 1600 | 1.4739 | 18.3 | 40.17 | 101.8910 |
96
+ | 1.2694 | 0.1861 | 1700 | 1.4498 | 22.53 | 43.15 | 76.9923 |
97
+ | 1.2321 | 0.1970 | 1800 | 1.4163 | 19.92 | 42.59 | 84.6015 |
98
+ | 1.1969 | 0.2080 | 1900 | 1.4137 | 21.63 | 44.92 | 85.3670 |
99
+ | 1.2023 | 0.2189 | 2000 | 1.3530 | 20.42 | 41.57 | 82.8906 |
100
+ | 1.1676 | 0.2299 | 2100 | 1.3723 | 22.82 | 44.23 | 78.1180 |
101
+ | 1.0332 | 0.2408 | 2200 | 1.3641 | 26.73 | 44.75 | 70.2386 |
102
+ | 0.8589 | 0.2518 | 2300 | 1.3344 | 26.94 | 46.89 | 72.7600 |
103
+ | 0.9829 | 0.2627 | 2400 | 1.3181 | 28.15 | 47.21 | 69.1130 |
104
+ | 0.8228 | 0.2737 | 2500 | 1.3049 | 26.98 | 47.41 | 74.0207 |
105
+ | 0.7667 | 0.2846 | 2600 | 1.2698 | 30.0 | 49.42 | 65.1058 |
106
+ | 0.8749 | 0.2956 | 2700 | 1.2878 | 27.91 | 47.67 | 66.9518 |
107
+ | 0.7504 | 0.3065 | 2800 | 1.2670 | 32.03 | 50.35 | 63.6650 |
108
+ | 0.7069 | 0.3175 | 2900 | 1.2771 | 30.7 | 49.53 | 64.4304 |
109
+ | 0.7199 | 0.3284 | 3000 | 1.2658 | 30.21 | 48.93 | 65.5561 |
110
+ | 0.6207 | 0.3394 | 3100 | 1.2687 | 30.82 | 49.11 | 66.0063 |
111
+ | 0.5995 | 0.3503 | 3200 | 1.2207 | 31.99 | 50.94 | 62.9446 |
112
+ | 0.6294 | 0.3612 | 3300 | 1.2422 | 31.05 | 50.85 | 64.7006 |
113
+ | 0.4612 | 0.3722 | 3400 | 1.2203 | 33.1 | 51.82 | 61.9090 |
114
+ | 0.5138 | 0.3831 | 3500 | 1.2007 | 32.08 | 51.86 | 63.0797 |
115
+ | 0.5059 | 0.3941 | 3600 | 1.2130 | 31.8 | 51.19 | 63.9352 |
116
+ | 0.417 | 0.4050 | 3700 | 1.1975 | 32.45 | 51.41 | 62.2692 |
117
+ | 0.2958 | 0.4160 | 3800 | 1.2046 | 29.29 | 51.39 | 62.7645 |
118
+ | 0.393 | 0.4269 | 3900 | 1.1968 | 28.95 | 51.45 | 63.1697 |
119
+ | 0.3858 | 0.4379 | 4000 | 1.1929 | 29.54 | 51.58 | 62.4043 |
120
+
121
+
122
  ### Framework versions
123
 
124
  - Transformers 4.41.2