krirk commited on
Commit
377143c
1 Parent(s): 31e38f6

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +65 -0
README.md ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ metrics:
5
+ - wer
6
+ model-index:
7
+ - name: base-asr-with-tpbs-cv3
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
+ # base-asr-with-tpbs-cv3
15
+
16
+ This model is a fine-tuned version of [Botnoi/base-asr-with-lm](https://huggingface.co/Botnoi/base-asr-with-lm) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 0.5934
19
+ - Wer: 0.2629
20
+ - Cer: 0.0756
21
+ - Clean Cer: 0.0696
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 0.0001
41
+ - train_batch_size: 32
42
+ - eval_batch_size: 8
43
+ - seed: 42
44
+ - gradient_accumulation_steps: 2
45
+ - total_train_batch_size: 64
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - num_epochs: 100
49
+ - mixed_precision_training: Native AMP
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Clean Cer |
54
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|
55
+ | 0.1269 | 26.67 | 400 | 0.5346 | 0.2723 | 0.0793 | 0.0726 |
56
+ | 0.0436 | 53.33 | 800 | 0.5695 | 0.2647 | 0.0767 | 0.0705 |
57
+ | 0.0287 | 80.0 | 1200 | 0.5934 | 0.2629 | 0.0756 | 0.0696 |
58
+
59
+
60
+ ### Framework versions
61
+
62
+ - Transformers 4.27.4
63
+ - Pytorch 1.13.1+cu117
64
+ - Datasets 2.11.0
65
+ - Tokenizers 0.13.2