Hugging Face's logo

Marcos12886
/
distilhubert-finetuned-donateacry

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
Marcos12886 commited on
Commit
8f2635a
•
1 Parent(s): 0a9b4d1

End of training

Browse files
Files changed (3) hide show
  1. README.md +11 -5
  2. runs/Jul03_17-59-55_DesMar/events.out.tfevents.1720022396.DesMar.18120.0 +2 -2
  3. runs/Jul03_17-59-55_DesMar/events.out.tfevents.1720022980.DesMar.18120.1 +3 -0
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.6966292134831461
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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.9121
36
- - Accuracy: 0.6966
37
 
38
  ## Model description
39
 
@@ -60,13 +60,19 @@ The following hyperparameters were used during training:
60
  - total_train_batch_size: 64
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
- - num_epochs: 1
64
 
65
  ### Training results
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:------:|:----:|:---------------:|:--------:|
69
- | No log | 0.9888 | 11 | 0.9121 | 0.6966 |
 
 
 
 
 
 
70
 
71
 
72
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.898876404494382
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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.4400
36
+ - Accuracy: 0.8989
37
 
38
  ## Model description
39
 
 
60
  - total_train_batch_size: 64
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
+ - num_epochs: 7
64
 
65
  ### Training results
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
  |:-------------:|:------:|:----:|:---------------:|:--------:|
69
+ | No log | 0.9888 | 11 | 0.9209 | 0.6910 |
70
+ | No log | 1.9775 | 22 | 0.7430 | 0.7809 |
71
+ | No log | 2.9663 | 33 | 0.7456 | 0.7978 |
72
+ | No log | 3.9551 | 44 | 0.6411 | 0.7416 |
73
+ | No log | 4.9438 | 55 | 0.4903 | 0.8652 |
74
+ | No log | 5.9326 | 66 | 0.4881 | 0.8427 |
75
+ | No log | 6.9213 | 77 | 0.4400 | 0.8989 |
76
 
77
 
78
  ### Framework versions
runs/Jul03_17-59-55_DesMar/events.out.tfevents.1720022396.DesMar.18120.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:647491c266bc0fae4e9ab4635180dc00ac1c5e47c5fd03cf2225add43c4e323a
3
- size 7974
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77cc474f3dd4a0d79be10888b4f0b69897aff5cdb087543d01779b98ee616df6
3
+ size 8639
runs/Jul03_17-59-55_DesMar/events.out.tfevents.1720022980.DesMar.18120.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2d7de45090e823752de7060410dc03eb53faae39d121d59e3e9a7714482b62c9
3
+ size 405