Hugging Face's logo

jcrkn
/
wav2vec2-large-xls-r-300m-breton-colab

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
jcrkn commited on
Commit
2d80fea
•
1 Parent(s): 7f90975

End of training

Browse files
Files changed (2) hide show
  1. README.md +13 -9
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Wer
24
  type: wer
25
- value: 0.794035594035594
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-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.4386
36
- - Wer: 0.7940
37
 
38
  ## Model description
39
 
@@ -52,7 +52,7 @@ More information needed
52
  ### Training hyperparameters
53
 
54
  The following hyperparameters were used during training:
55
- - learning_rate: 0.0009
56
  - train_batch_size: 8
57
  - eval_batch_size: 8
58
  - seed: 42
@@ -61,16 +61,20 @@ The following hyperparameters were used during training:
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_steps: 300
64
- - num_epochs: 5
65
 
66
  ### Training results
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Wer |
69
  |:-------------:|:-----:|:----:|:---------------:|:------:|
70
- | 0.8198 | 1.17 | 300 | 1.5223 | 0.8765 |
71
- | 0.8458 | 2.35 | 600 | 1.4725 | 0.8534 |
72
- | 0.6537 | 3.52 | 900 | 1.4510 | 0.8080 |
73
- | 0.4878 | 4.7 | 1200 | 1.4386 | 0.7940 |
 
 
 
 
74
 
75
 
76
  ### Framework versions
 
22
  metrics:
23
  - name: Wer
24
  type: wer
25
+ value: 0.6972582972582972
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-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.0793
36
+ - Wer: 0.6973
37
 
38
  ## Model description
39
 
 
52
  ### Training hyperparameters
53
 
54
  The following hyperparameters were used during training:
55
+ - learning_rate: 0.0003
56
  - train_batch_size: 8
57
  - eval_batch_size: 8
58
  - seed: 42
 
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_steps: 300
64
+ - num_epochs: 10
65
 
66
  ### Training results
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Wer |
69
  |:-------------:|:-----:|:----:|:---------------:|:------:|
70
+ | 6.6832 | 1.17 | 300 | 3.0771 | 1.0 |
71
+ | 2.8236 | 2.35 | 600 | 1.8920 | 0.9933 |
72
+ | 1.6441 | 3.52 | 900 | 1.3801 | 0.8888 |
73
+ | 1.2448 | 4.7 | 1200 | 1.2419 | 0.8367 |
74
+ | 1.039 | 5.87 | 1500 | 1.1795 | 0.7827 |
75
+ | 0.8951 | 7.05 | 1800 | 1.1166 | 0.7502 |
76
+ | 0.7703 | 8.22 | 2100 | 1.0657 | 0.7192 |
77
+ | 0.694 | 9.39 | 2400 | 1.0793 | 0.6973 |
78
 
79
 
80
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:06d7d44ccd62c1f285eff5510e55bf1bef95a478567a22b7cb215a42941055b9
3
  size 1262078125
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06d3e4adca166edc8fe4e3f588308bd2f54b79c1d8725daaf7c3a082ac50821d
3
  size 1262078125