Hugging Face's logo

hf-audio
/
w2v-bert-2.0-mongolian-colab-CV16.0

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
ylacombe HF staff commited on
Commit
89a5aa0
•
1 Parent(s): 9804f85

End of training

Browse files
Files changed (3) hide show
  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Jan15_14-01-30_f126e5d6af10/events.out.tfevents.1705327380.f126e5d6af10.3348.0 +2 -2
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
21
  metrics:
22
  - name: Wer
23
  type: wer
24
- value: 0.32330867957363496
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
31
 
32
  This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the common_voice_16_0 dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.5065
35
- - Wer: 0.3233
36
 
37
  ## Model description
38
 
@@ -67,18 +67,18 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Wer |
69
  |:-------------:|:-----:|:----:|:---------------:|:------:|
70
- | 3.8092 | 0.79 | 100 | 2.1220 | 1.0404 |
71
- | 0.9265 | 1.58 | 200 | 0.7650 | 0.6125 |
72
- | 0.5241 | 2.37 | 300 | 0.6422 | 0.5244 |
73
- | 0.4165 | 3.16 | 400 | 0.6275 | 0.4711 |
74
- | 0.3393 | 3.95 | 500 | 0.6290 | 0.4884 |
75
- | 0.2664 | 4.74 | 600 | 0.5784 | 0.4712 |
76
- | 0.2315 | 5.53 | 700 | 0.5370 | 0.4160 |
77
- | 0.1819 | 6.32 | 800 | 0.5268 | 0.3813 |
78
- | 0.1339 | 7.11 | 900 | 0.5100 | 0.3643 |
79
- | 0.0993 | 7.91 | 1000 | 0.5368 | 0.3549 |
80
- | 0.0739 | 8.7 | 1100 | 0.5405 | 0.3378 |
81
- | 0.055 | 9.49 | 1200 | 0.5065 | 0.3233 |
82
 
83
 
84
  ### Framework versions
 
21
  metrics:
22
  - name: Wer
23
  type: wer
24
+ value: 0.3251033282575593
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
31
 
32
  This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the common_voice_16_0 dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.5032
35
+ - Wer: 0.3251
36
 
37
  ## Model description
38
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Wer |
69
  |:-------------:|:-----:|:----:|:---------------:|:------:|
70
+ | 3.7516 | 0.79 | 100 | 2.4041 | 1.0089 |
71
+ | 1.0185 | 1.58 | 200 | 0.7642 | 0.6153 |
72
+ | 0.5366 | 2.37 | 300 | 0.6518 | 0.5328 |
73
+ | 0.4153 | 3.16 | 400 | 0.6116 | 0.4811 |
74
+ | 0.353 | 3.95 | 500 | 0.6357 | 0.4806 |
75
+ | 0.2876 | 4.74 | 600 | 0.6213 | 0.4434 |
76
+ | 0.2389 | 5.53 | 700 | 0.5103 | 0.4243 |
77
+ | 0.1735 | 6.32 | 800 | 0.5079 | 0.3753 |
78
+ | 0.1419 | 7.11 | 900 | 0.5264 | 0.3638 |
79
+ | 0.1031 | 7.91 | 1000 | 0.5454 | 0.3466 |
80
+ | 0.0743 | 8.7 | 1100 | 0.5286 | 0.3337 |
81
+ | 0.054 | 9.49 | 1200 | 0.5032 | 0.3251 |
82
 
83
 
84
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d545518388887bb276ac69fef07c1433a4ccd6b099732760ea6799cb55c8f6a4
3
  size 2422974460
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5762f32f23890e70f5b94b46eb44b44f7813e0f9d46faa571ec705ba75afb7be
3
  size 2422974460
runs/Jan15_14-01-30_f126e5d6af10/events.out.tfevents.1705327380.f126e5d6af10.3348.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:33b7f572c7957c51541c8ea300bb28d3dce29c278046c2fab3389b6b5dc0fc49
3
- size 11366
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:585871d6199d02b299d7ff923798b4946354e186802a429b15a6569cbdef48d7
3
+ size 11720