tuanio commited on
Commit
0dde9dd
1 Parent(s): 44e910e

End of training

Browse files
Files changed (2) hide show
  1. README.md +83 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/wav2vec2-xls-r-300m
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - common_voice_11_0
8
+ metrics:
9
+ - wer
10
+ model-index:
11
+ - name: wav2vec2-large-xls-r-300m-cv_vi
12
+ results:
13
+ - task:
14
+ name: Automatic Speech Recognition
15
+ type: automatic-speech-recognition
16
+ dataset:
17
+ name: common_voice_11_0
18
+ type: common_voice_11_0
19
+ config: vi
20
+ split: test
21
+ args: vi
22
+ metrics:
23
+ - name: Wer
24
+ type: wer
25
+ value: 0.6293736974882088
26
+ ---
27
+
28
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
+ should probably proofread and complete it, then remove this comment. -->
30
+
31
+ # wav2vec2-large-xls-r-300m-cv_vi
32
+
33
+ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_11_0 dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 1.4553
36
+ - Wer: 0.6294
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 0.0003
56
+ - train_batch_size: 4
57
+ - eval_batch_size: 8
58
+ - seed: 42
59
+ - gradient_accumulation_steps: 8
60
+ - total_train_batch_size: 32
61
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
+ - lr_scheduler_type: linear
63
+ - lr_scheduler_warmup_steps: 1000
64
+ - num_epochs: 30
65
+
66
+ ### Training results
67
+
68
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
69
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
70
+ | 8.9094 | 4.61 | 400 | 3.4930 | 1.0 |
71
+ | 1.8862 | 9.22 | 800 | 1.4226 | 0.7562 |
72
+ | 0.3298 | 13.83 | 1200 | 1.2513 | 0.6858 |
73
+ | 0.1738 | 18.44 | 1600 | 1.4055 | 0.6732 |
74
+ | 0.1134 | 23.05 | 2000 | 1.4623 | 0.6557 |
75
+ | 0.0755 | 27.67 | 2400 | 1.4553 | 0.6294 |
76
+
77
+
78
+ ### Framework versions
79
+
80
+ - Transformers 4.33.2
81
+ - Pytorch 2.0.1+cu117
82
+ - Datasets 2.14.5
83
+ - Tokenizers 0.13.3
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:63379746d5ebda606982c19684134ecf14d3c5ea9f092e9f2588754c5fcfb052
3
  size 1262303661
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba7a117f1e2fec87f4a4e65519f4e24fa43c6414a43792662c0f2409b298fd09
3
  size 1262303661