monideep2255 commited on
Commit
c96649c
1 Parent(s): e19914b

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +73 -0
README.md ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ model-index:
5
+ - name: pseudolabeling-step1-F04
6
+ results: []
7
+ ---
8
+
9
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
+ should probably proofread and complete it, then remove this comment. -->
11
+
12
+ # pseudolabeling-step1-F04
13
+
14
+ This model is a fine-tuned version of [yongjian/wav2vec2-large-a](https://huggingface.co/yongjian/wav2vec2-large-a) on an unknown dataset.
15
+ It achieves the following results on the evaluation set:
16
+ - Loss: 0.5392
17
+ - Wer: 0.8870
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 0.0001
37
+ - train_batch_size: 8
38
+ - eval_batch_size: 8
39
+ - seed: 42
40
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
41
+ - lr_scheduler_type: linear
42
+ - lr_scheduler_warmup_steps: 1000
43
+ - num_epochs: 30
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
48
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
49
+ | 21.4261 | 1.71 | 500 | 3.2064 | 1.0 |
50
+ | 2.9275 | 3.42 | 1000 | 2.6461 | 1.2637 |
51
+ | 2.49 | 5.14 | 1500 | 2.0627 | 1.2527 |
52
+ | 1.8582 | 6.85 | 2000 | 1.6367 | 1.1978 |
53
+ | 1.5071 | 8.56 | 2500 | 1.2845 | 1.1743 |
54
+ | 1.2181 | 10.27 | 3000 | 1.1395 | 1.1586 |
55
+ | 1.0386 | 11.99 | 3500 | 1.0155 | 1.0926 |
56
+ | 0.9307 | 13.7 | 4000 | 0.8144 | 1.0628 |
57
+ | 0.8073 | 15.41 | 4500 | 0.7666 | 1.1146 |
58
+ | 0.7209 | 17.12 | 5000 | 0.7020 | 1.0911 |
59
+ | 0.6618 | 18.84 | 5500 | 0.6829 | 1.0612 |
60
+ | 0.6079 | 20.55 | 6000 | 0.6023 | 0.9937 |
61
+ | 0.5242 | 22.26 | 6500 | 0.6057 | 0.9827 |
62
+ | 0.4848 | 23.97 | 7000 | 0.5802 | 0.9435 |
63
+ | 0.4602 | 25.68 | 7500 | 0.5376 | 0.9027 |
64
+ | 0.446 | 27.4 | 8000 | 0.5351 | 0.8964 |
65
+ | 0.4245 | 29.11 | 8500 | 0.5392 | 0.8870 |
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - Transformers 4.23.1
71
+ - Pytorch 1.12.1+cu113
72
+ - Datasets 1.18.3
73
+ - Tokenizers 0.13.2