jckim commited on
Commit
896417c
·
verified ·
1 Parent(s): 235b9b0

gglabs/stt-turbo-multilingual-test

Browse files
README.md CHANGED
@@ -9,19 +9,19 @@ tags:
9
  metrics:
10
  - wer
11
  model-index:
12
- - name: Whisper Turbo Multilingual (ko, ja, zh, en)
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 Turbo Multilingual (ko, ja, zh, en)
20
 
21
  This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom_multilingual dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.3860
24
- - Wer: 15.9354
25
 
26
  ## Model description
27
 
@@ -40,32 +40,22 @@ More information needed
40
  ### Training hyperparameters
41
 
42
  The following hyperparameters were used during training:
43
- - learning_rate: 0.0005
44
- - train_batch_size: 16
45
- - eval_batch_size: 32
46
  - seed: 42
47
- - gradient_accumulation_steps: 4
48
- - total_train_batch_size: 64
49
- - optimizer: Use 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: 200
52
- - training_steps: 5000
53
  - mixed_precision_training: Native AMP
54
 
55
  ### Training results
56
 
57
- | Training Loss | Epoch | Step | Validation Loss | Wer |
58
- |:-------------:|:-------:|:----:|:---------------:|:-------:|
59
- | 0.3244 | 1.0971 | 500 | 0.3557 | 19.6171 |
60
- | 0.2701 | 2.1942 | 1000 | 0.3490 | 19.5934 |
61
- | 0.224 | 3.2913 | 1500 | 0.3503 | 17.5891 |
62
- | 0.2132 | 4.3884 | 2000 | 0.3518 | 16.9210 |
63
- | 0.1865 | 5.4855 | 2500 | 0.3571 | 16.2908 |
64
- | 0.1661 | 6.5826 | 3000 | 0.3652 | 16.0491 |
65
- | 0.1467 | 7.6796 | 3500 | 0.3692 | 16.4471 |
66
- | 0.136 | 8.7767 | 4000 | 0.3762 | 15.9496 |
67
- | 0.1229 | 9.8738 | 4500 | 0.3816 | 15.8453 |
68
- | 0.1146 | 10.9709 | 5000 | 0.3860 | 15.9354 |
69
 
70
 
71
  ### Framework versions
 
9
  metrics:
10
  - wer
11
  model-index:
12
+ - name: Whisper Turbo Multilingual
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 Turbo Multilingual
20
 
21
  This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom_multilingual dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.4791
24
+ - Wer: 18.75
25
 
26
  ## Model description
27
 
 
40
  ### Training hyperparameters
41
 
42
  The following hyperparameters were used during training:
43
+ - learning_rate: 0.001
44
+ - train_batch_size: 2
45
+ - eval_batch_size: 2
46
  - seed: 42
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: 5
50
+ - training_steps: 20
51
  - mixed_precision_training: Native AMP
52
 
53
  ### Training results
54
 
55
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
56
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
57
+ | 0.3929 | 1.0 | 10 | 0.7320 | 21.875 |
58
+ | 0.076 | 2.0 | 20 | 0.4791 | 18.75 |
 
 
 
 
 
 
 
 
59
 
60
 
61
  ### Framework versions
adapter_config.json CHANGED
@@ -28,9 +28,9 @@
28
  "revision": null,
29
  "target_modules": [
30
  "q_proj",
31
- "k_proj",
32
  "v_proj",
33
- "o_proj"
34
  ],
35
  "task_type": null,
36
  "trainable_token_indices": null,
 
28
  "revision": null,
29
  "target_modules": [
30
  "q_proj",
31
+ "o_proj",
32
  "v_proj",
33
+ "k_proj"
34
  ],
35
  "task_type": null,
36
  "trainable_token_indices": null,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1ea6247b8e16801be0648d2b73027fcf6408ab2ea750ce6d71f4920d972aae13
3
  size 78677456
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:227bca4c5b5125ea6832cd4d58e2ad75d97cd3d3e161a850a9c45a7de5ab59e8
3
  size 78677456
runs/Aug16_05-02-49_ubuntu/events.out.tfevents.1755288169.ubuntu.863233.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:306154d2fea16bf6399d26b63a0f9aee1d1cc02f5ea03fc24361f2b39accb135
3
+ size 6394
runs/Aug16_05-03-55_ubuntu/events.out.tfevents.1755288235.ubuntu.871478.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f2eec87cae71b9e2f2356a076752b79709d4edd4805f5f2df24ea6e13b7daee
3
+ size 6394
runs/Aug16_05-05-24_ubuntu/events.out.tfevents.1755288325.ubuntu.880121.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab62afcb1338e4a7bd611e5433bb088f9b845bd142bb1bc6cce363ffdfb883de
3
+ size 6394
runs/Aug16_05-08-11_ubuntu/events.out.tfevents.1755288491.ubuntu.897503.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d8bfd385acde7be3672eec940b415d0bd600302281e35c595431c07cf50befa
3
+ size 6394
runs/Aug16_05-10-49_ubuntu/events.out.tfevents.1755288649.ubuntu.912455.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53e91fc2b9204c26c1341b65eac43774fcf514048409aa74db0671c2fd0ade18
3
+ size 6394
runs/Aug16_05-13-02_ubuntu/events.out.tfevents.1755288783.ubuntu.926962.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:252a902efa2861b602dcaefd0162e74be0d468264b1b578dedd8c5bc2826e997
3
+ size 6394
runs/Aug16_05-15-33_ubuntu/events.out.tfevents.1755288934.ubuntu.941520.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e5b1ae2124631722ad8973e2e63f14135fa135ee58ebf6e42f14a445fb732f7
3
+ size 9436
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a95a43474a228ffdff8870d11d6af2f6d2aa8fe281c83c3850492a6b5eb71798
3
  size 5496
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:90e55d6a2722c603fe80e1892a5c0ad681bfeff6114717f4da5ec6d3cf336ce2
3
  size 5496