dongim04 commited on
Commit
ab9cdbf
1 Parent(s): da6e9e1

End of training

Browse files
README.md CHANGED
@@ -1,33 +1,25 @@
1
  ---
2
  library_name: transformers
3
- language:
4
- - zh
5
  license: apache-2.0
6
  base_model: openai/whisper-base
7
  tags:
8
- - hf-asr-leaderboard
9
  - generated_from_trainer
10
- datasets:
11
- - aimpower/mandarin_stutter_speech
12
  model-index:
13
- - name: Whisper Base ZH - Dongim Lee
14
  results: []
15
  ---
16
 
17
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
18
  should probably proofread and complete it, then remove this comment. -->
19
 
20
- # Whisper Base ZH - Dongim Lee
21
 
22
- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the AImpower Mandarin Stutter Speech dataset.
23
  It achieves the following results on the evaluation set:
24
- - eval_loss: 0.3523
25
- - eval_wer: 77.0525
26
- - eval_runtime: 533.856
27
- - eval_samples_per_second: 3.606
28
- - eval_steps_per_second: 0.451
29
- - epoch: 4.7718
30
- - step: 2300
31
 
32
  ## Model description
33
 
@@ -56,6 +48,26 @@ The following hyperparameters were used during training:
56
  - training_steps: 4000
57
  - mixed_precision_training: Native AMP
58
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
59
  ### Framework versions
60
 
61
  - Transformers 4.46.2
 
1
  ---
2
  library_name: transformers
 
 
3
  license: apache-2.0
4
  base_model: openai/whisper-base
5
  tags:
 
6
  - generated_from_trainer
7
+ metrics:
8
+ - wer
9
  model-index:
10
+ - name: whisper-base-zh
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
+ # whisper-base-zh
18
 
19
+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.3426
22
+ - Wer: 78.6221
 
 
 
 
 
23
 
24
  ## Model description
25
 
 
48
  - training_steps: 4000
49
  - mixed_precision_training: Native AMP
50
 
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
54
+ |:-------------:|:------:|:----:|:---------------:|:-------:|
55
+ | 0.4992 | 0.2075 | 100 | 0.4841 | 93.0091 |
56
+ | 0.4325 | 0.4149 | 200 | 0.4223 | 82.7761 |
57
+ | 0.4028 | 0.6224 | 300 | 0.3979 | 81.6616 |
58
+ | 0.3866 | 0.8299 | 400 | 0.3846 | 79.8886 |
59
+ | 0.3322 | 1.0373 | 500 | 0.3731 | 80.3951 |
60
+ | 0.3108 | 1.2448 | 600 | 0.3672 | 79.2300 |
61
+ | 0.3139 | 1.4523 | 700 | 0.3601 | 79.1287 |
62
+ | 0.324 | 1.6598 | 800 | 0.3558 | 78.7741 |
63
+ | 0.2629 | 1.8672 | 900 | 0.3525 | 78.1155 |
64
+ | 0.2421 | 2.0747 | 1000 | 0.3521 | 78.5208 |
65
+ | 0.217 | 2.2822 | 1100 | 0.3495 | 78.3688 |
66
+ | 0.2071 | 2.4896 | 1200 | 0.3490 | 78.5714 |
67
+ | 0.2183 | 2.6971 | 1300 | 0.3452 | 78.6727 |
68
+ | 0.2158 | 2.9046 | 1400 | 0.3426 | 78.6221 |
69
+
70
+
71
  ### Framework versions
72
 
73
  - Transformers 4.46.2
runs/Nov17_04-29-12_ac7f6a829392/events.out.tfevents.1731817755.ac7f6a829392.6432.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fbe954c0ef30bea03e78c3d94e827436861ff7deef31c043b5f0d4cc194276a2
3
- size 17496
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:48f18de5e9fe275b25237da480022d7d8c0c00e314434fc1ed20c6500cdeb8ed
3
+ size 22498