gary109 commited on
Commit
a285761
1 Parent(s): 1d894aa

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +70 -0
README.md ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6
14
+
15
+ This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 1.0440
18
+ - Wer: 0.6500
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 4e-05
38
+ - train_batch_size: 8
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - gradient_accumulation_steps: 8
42
+ - total_train_batch_size: 64
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - lr_scheduler_warmup_steps: 100
46
+ - num_epochs: 10.0
47
+ - mixed_precision_training: Native AMP
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
52
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
53
+ | 0.8572 | 1.0 | 376 | 1.0508 | 0.6601 |
54
+ | 0.8671 | 2.0 | 752 | 1.0755 | 0.6581 |
55
+ | 0.8578 | 3.0 | 1128 | 1.0152 | 0.6787 |
56
+ | 0.8552 | 4.0 | 1504 | 1.0537 | 0.6557 |
57
+ | 0.8354 | 5.0 | 1880 | 1.0386 | 0.6606 |
58
+ | 0.8543 | 6.0 | 2256 | 1.0063 | 0.6580 |
59
+ | 0.8556 | 7.0 | 2632 | 1.0487 | 0.6499 |
60
+ | 0.8356 | 8.0 | 3008 | 1.0407 | 0.6549 |
61
+ | 0.8227 | 9.0 | 3384 | 1.0382 | 0.6506 |
62
+ | 0.8148 | 10.0 | 3760 | 1.0440 | 0.6500 |
63
+
64
+
65
+ ### Framework versions
66
+
67
+ - Transformers 4.21.0.dev0
68
+ - Pytorch 1.11.0+cu113
69
+ - Datasets 2.3.3.dev0
70
+ - Tokenizers 0.12.1