Hugging Face's logo

EzraWilliam
/
wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Model card Files
xet
Metrics Community
EzraWilliam commited on
Commit
7b9ebc4
·
verified ·
1 Parent(s): b679416

End of training

Browse files
Files changed (3) hide show
  1. README.md +31 -21
  2. model.safetensors +1 -1
  3. runs/Mar27_06-52-32_632235f47188/events.out.tfevents.1711522385.632235f47188.246.0 +2 -2
README.md CHANGED
@@ -1,8 +1,8 @@
1
  ---
2
  license: apache-2.0
 
3
  tags:
4
  - generated_from_trainer
5
- base_model: facebook/wav2vec2-large-xlsr-53
6
  datasets:
7
  - xtreme_s
8
  metrics:
@@ -11,8 +11,8 @@ model-index:
11
  - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9
12
  results:
13
  - task:
14
- type: automatic-speech-recognition
15
  name: Automatic Speech Recognition
 
16
  dataset:
17
  name: xtreme_s
18
  type: xtreme_s
@@ -20,9 +20,9 @@ model-index:
20
  split: test
21
  args: fleurs.id_id
22
  metrics:
23
- - type: wer
24
- value: 1.0
25
- name: Wer
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the xtreme_s dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 2.8522
36
- - Wer: 1.0
37
 
38
  ## Model description
39
 
@@ -53,28 +53,38 @@ More information needed
53
 
54
  The following hyperparameters were used during training:
55
  - learning_rate: 0.001
56
- - train_batch_size: 32
57
  - eval_batch_size: 8
58
  - seed: 42
59
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
  - lr_scheduler_type: linear
61
- - num_epochs: 10
62
  - mixed_precision_training: Native AMP
63
 
64
  ### Training results
65
 
66
- | Training Loss | Epoch | Step | Validation Loss | Wer |
67
- |:-------------:|:-----:|:----:|:---------------:|:---:|
68
- | No log | 1.0 | 20 | 2.9101 | 1.0 |
69
- | No log | 2.0 | 40 | 2.8625 | 1.0 |
70
- | No log | 3.0 | 60 | 2.8728 | 1.0 |
71
- | No log | 4.0 | 80 | 2.8608 | 1.0 |
72
- | No log | 5.0 | 100 | 2.8697 | 1.0 |
73
- | No log | 6.0 | 120 | 2.8550 | 1.0 |
74
- | No log | 7.0 | 140 | 2.8668 | 1.0 |
75
- | No log | 8.0 | 160 | 2.8452 | 1.0 |
76
- | No log | 9.0 | 180 | 2.8746 | 1.0 |
77
- | No log | 10.0 | 200 | 2.8522 | 1.0 |
 
 
 
 
 
 
 
 
 
 
78
 
79
 
80
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: facebook/wav2vec2-large-xlsr-53
4
  tags:
5
  - generated_from_trainer
 
6
  datasets:
7
  - xtreme_s
8
  metrics:
 
11
  - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9
12
  results:
13
  - task:
 
14
  name: Automatic Speech Recognition
15
+ type: automatic-speech-recognition
16
  dataset:
17
  name: xtreme_s
18
  type: xtreme_s
 
20
  split: test
21
  args: fleurs.id_id
22
  metrics:
23
+ - name: Wer
24
+ type: wer
25
+ value: 0.9842089507558749
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the xtreme_s dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.3012
36
+ - Wer: 0.9842
37
 
38
  ## Model description
39
 
 
53
 
54
  The following hyperparameters were used during training:
55
  - learning_rate: 0.001
56
+ - train_batch_size: 16
57
  - eval_batch_size: 8
58
  - seed: 42
59
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
  - lr_scheduler_type: linear
61
+ - num_epochs: 20
62
  - mixed_precision_training: Native AMP
63
 
64
  ### Training results
65
 
66
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
67
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
68
+ | No log | 1.0 | 39 | 2.8812 | 1.0 |
69
+ | No log | 2.0 | 78 | 2.8688 | 1.0 |
70
+ | No log | 3.0 | 117 | 2.8722 | 1.0 |
71
+ | No log | 4.0 | 156 | 2.8640 | 1.0 |
72
+ | No log | 5.0 | 195 | 2.8447 | 1.0 |
73
+ | No log | 6.0 | 234 | 2.8468 | 1.0 |
74
+ | No log | 7.0 | 273 | 2.8465 | 1.0 |
75
+ | No log | 8.0 | 312 | 2.8488 | 1.0 |
76
+ | No log | 9.0 | 351 | 2.8355 | 1.0 |
77
+ | No log | 10.0 | 390 | 2.8167 | 1.0 |
78
+ | No log | 11.0 | 429 | 2.8076 | 1.0 |
79
+ | No log | 12.0 | 468 | 2.7065 | 1.0 |
80
+ | 2.9881 | 13.0 | 507 | 2.5506 | 1.0 |
81
+ | 2.9881 | 14.0 | 546 | 2.2657 | 1.0 |
82
+ | 2.9881 | 15.0 | 585 | 1.9921 | 1.0 |
83
+ | 2.9881 | 16.0 | 624 | 1.7390 | 1.0 |
84
+ | 2.9881 | 17.0 | 663 | 1.5309 | 1.0 |
85
+ | 2.9881 | 18.0 | 702 | 1.4300 | 0.9994 |
86
+ | 2.9881 | 19.0 | 741 | 1.3280 | 0.9938 |
87
+ | 2.9881 | 20.0 | 780 | 1.3012 | 0.9842 |
88
 
89
 
90
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ebb134b3c823da0a3f1111493d373d9c285bf83fa9980a897ac1d00cf7dbcbc9
3
  size 1261975580
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bed343ea754bf99d8074ea23d2cc4eaae5d14c62118fb08516b3e927999a6133
3
  size 1261975580
runs/Mar27_06-52-32_632235f47188/events.out.tfevents.1711522385.632235f47188.246.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3e4ffee132fce19f5b1ec6bbe588ff7e998a4cff3d3da2f7acbeeeabb9507c56
3
- size 10402
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a5901d1bcb6b7d6132c726a61e1910f25faddb1ec7b91aee2d5896533abc020
3
+ size 13300