Hugging Face's logo

ymoslem
/
whisper-small-ga2en-v1.6-r

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Irish
English
whisper
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
ymoslem commited on
Commit
d7e1c64
•
1 Parent(s): 2e5b1eb

End of training

Browse files
Files changed (3) hide show
  1. README.md +69 -4
  2. model.safetensors +1 -1
  3. runs/Jun03_02-03-40_217bdb97c60e/events.out.tfevents.1717380240.217bdb97c60e +2 -2
README.md CHANGED
@@ -1,19 +1,48 @@
1
  ---
 
 
 
2
  license: apache-2.0
3
  base_model: openai/whisper-small
4
  tags:
5
  - generated_from_trainer
 
 
 
 
 
 
 
 
6
  model-index:
7
- - name: whisper-small-ga2en-v1.6-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-small-ga2en-v1.6-r
15
 
16
- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 
 
 
 
 
17
 
18
  ## Model description
19
 
@@ -42,6 +71,42 @@ The following hyperparameters were used during training:
42
  - training_steps: 3000
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-small
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
+ metrics:
15
+ - bleu
16
+ - wer
17
  model-index:
18
+ - name: Whisper Small GA-EN Speech Translation + VAD + warmup_ratio=0.01
19
+ results:
20
+ - task:
21
+ name: Automatic Speech Recognition
22
+ type: automatic-speech-recognition
23
+ dataset:
24
+ name: IWSLT-2023, FLEURS, BiteSize, and SpokenWords
25
+ type: ymoslem/IWSLT2023-GA-EN
26
+ metrics:
27
+ - name: Bleu
28
+ type: bleu
29
+ value: 29.94
30
+ - name: Wer
31
+ type: wer
32
+ value: 64.34038721296713
33
  ---
34
 
35
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
36
  should probably proofread and complete it, then remove this comment. -->
37
 
38
+ # Whisper Small GA-EN Speech Translation + VAD + warmup_ratio=0.01
39
 
40
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the IWSLT-2023, FLEURS, BiteSize, and SpokenWords dataset.
41
+ It achieves the following results on the evaluation set:
42
+ - Loss: 1.7482
43
+ - Bleu: 29.94
44
+ - Chrf: 45.74
45
+ - Wer: 64.3404
46
 
47
  ## Model description
48
 
 
71
  - training_steps: 3000
72
  - mixed_precision_training: Native AMP
73
 
74
+ ### Training results
75
+
76
+ | Training Loss | Epoch | Step | Bleu | Chrf | Validation Loss | Wer |
77
+ |:-------------:|:------:|:----:|:-----:|:-----:|:---------------:|:--------:|
78
+ | 2.0518 | 0.2188 | 100 | 8.56 | 25.29 | 1.8072 | 123.9982 |
79
+ | 1.5449 | 0.4376 | 200 | 18.41 | 34.82 | 1.5746 | 83.7461 |
80
+ | 1.2518 | 0.6565 | 300 | 21.1 | 36.24 | 1.5009 | 83.9712 |
81
+ | 1.0947 | 0.8753 | 400 | 21.5 | 41.43 | 1.4582 | 89.8694 |
82
+ | 0.4439 | 1.0941 | 500 | 25.21 | 41.77 | 1.4979 | 72.5799 |
83
+ | 0.4416 | 1.3129 | 600 | 22.2 | 40.47 | 1.5107 | 79.8739 |
84
+ | 0.4417 | 1.5317 | 700 | 20.2 | 40.75 | 1.5215 | 88.8789 |
85
+ | 0.4108 | 1.7505 | 800 | 25.73 | 41.28 | 1.5278 | 67.8073 |
86
+ | 0.355 | 1.9694 | 900 | 20.6 | 39.37 | 1.5436 | 87.3030 |
87
+ | 0.1303 | 2.1882 | 1000 | 28.79 | 42.68 | 1.5936 | 68.1675 |
88
+ | 0.1421 | 2.4070 | 1100 | 27.84 | 42.58 | 1.5745 | 67.5371 |
89
+ | 0.1341 | 2.6258 | 1200 | 30.52 | 45.15 | 1.5953 | 66.5916 |
90
+ | 0.1365 | 2.8446 | 1300 | 26.93 | 43.72 | 1.6046 | 74.2909 |
91
+ | 0.0528 | 3.0635 | 1400 | 29.03 | 44.12 | 1.6303 | 64.8807 |
92
+ | 0.0519 | 3.2823 | 1500 | 27.75 | 44.34 | 1.6774 | 68.6177 |
93
+ | 0.0554 | 3.5011 | 1600 | 27.64 | 45.15 | 1.6637 | 71.1842 |
94
+ | 0.0514 | 3.7199 | 1700 | 30.26 | 44.62 | 1.6497 | 65.4660 |
95
+ | 0.0503 | 3.9387 | 1800 | 26.88 | 43.0 | 1.6780 | 70.4187 |
96
+ | 0.0259 | 4.1575 | 1900 | 29.6 | 44.51 | 1.6915 | 64.9707 |
97
+ | 0.0263 | 4.3764 | 2000 | 25.33 | 42.51 | 1.7080 | 72.3998 |
98
+ | 0.0254 | 4.5952 | 2100 | 30.59 | 45.35 | 1.6884 | 64.2954 |
99
+ | 0.0211 | 4.8140 | 2200 | 31.09 | 46.56 | 1.6984 | 64.0252 |
100
+ | 0.0137 | 5.0328 | 2300 | 28.96 | 43.67 | 1.7253 | 66.3665 |
101
+ | 0.0075 | 5.2516 | 2400 | 29.77 | 44.63 | 1.7112 | 66.9968 |
102
+ | 0.0056 | 5.4705 | 2500 | 29.96 | 45.51 | 1.7197 | 64.5655 |
103
+ | 0.0067 | 5.6893 | 2600 | 29.86 | 45.25 | 1.7464 | 66.0964 |
104
+ | 0.0064 | 5.9081 | 2700 | 29.47 | 45.36 | 1.7440 | 65.2859 |
105
+ | 0.0023 | 6.1269 | 2800 | 30.03 | 46.49 | 1.7419 | 64.4755 |
106
+ | 0.0016 | 6.3457 | 2900 | 29.76 | 45.64 | 1.7474 | 65.0158 |
107
+ | 0.0019 | 6.5646 | 3000 | 1.7482| 29.94 | 45.74 | 64.3404 |
108
+
109
+
110
  ### Framework versions
111
 
112
  - Transformers 4.41.2
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:db4d365e3f9d8246c5458a3d81b26211bda7a564169d9cd1efea8322732dd292
3
  size 966995080
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f56a9be4b1e8cc46c27abcd4e63af60eaa2fde66a65951d2d50df227b260e5c
3
  size 966995080
runs/Jun03_02-03-40_217bdb97c60e/events.out.tfevents.1717380240.217bdb97c60e CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2e89c58d3041643082cefb683591478748c31deb2e98c725345633e95ff3f726
3
- size 6494
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:642ff70adf94ef9202b7105753f15c5e7f790ab47610d3a4647a90d15528d8d7
3
+ size 7262