hughugfacee commited on
Commit
bc72c31
1 Parent(s): 9729c4b

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -14
README.md CHANGED
@@ -4,8 +4,6 @@ tags:
4
  - generated_from_trainer
5
  datasets:
6
  - minds14
7
- metrics:
8
- - accuracy
9
  model-index:
10
  - name: my_awesome_mind_model
11
  results: []
@@ -17,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
17
  # my_awesome_mind_model
18
 
19
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
20
- It achieves the following results on the evaluation set:
21
- - Loss: nan
22
- - Accuracy: 0.0708
23
 
24
  ## Model description
25
 
@@ -47,20 +42,13 @@ The following hyperparameters were used during training:
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
  - lr_scheduler_warmup_ratio: 0.1
50
- - num_epochs: 10
51
 
52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
56
- | No log | 0.8 | 3 | nan | 0.0708 |
57
- | No log | 1.87 | 7 | nan | 0.0708 |
58
- | 95.3439 | 2.93 | 11 | nan | 0.0708 |
59
- | 95.3439 | 4.0 | 15 | nan | 0.0708 |
60
- | 95.3439 | 4.8 | 18 | nan | 0.0708 |
61
- | 0.0 | 5.87 | 22 | nan | 0.0708 |
62
- | 0.0 | 6.93 | 26 | nan | 0.0708 |
63
- | 0.0 | 8.0 | 30 | nan | 0.0708 |
64
 
65
 
66
  ### Framework versions
 
4
  - generated_from_trainer
5
  datasets:
6
  - minds14
 
 
7
  model-index:
8
  - name: my_awesome_mind_model
9
  results: []
 
15
  # my_awesome_mind_model
16
 
17
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
 
 
 
18
 
19
  ## Model description
20
 
 
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
  - lr_scheduler_warmup_ratio: 0.1
45
+ - num_epochs: 1
46
 
47
  ### Training results
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
+ | No log | 0.8 | 3 | 2.6344 | 0.0885 |
 
 
 
 
 
 
 
52
 
53
 
54
  ### Framework versions