lpcortez commited on
Commit
eb1c903
1 Parent(s): 966daef

End of training

Browse files
Files changed (2) hide show
  1. README.md +78 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/wav2vec2-base-960h
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - audiofolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: audio_consistency0.0.3
12
+ results:
13
+ - task:
14
+ name: Audio Classification
15
+ type: audio-classification
16
+ dataset:
17
+ name: audiofolder
18
+ type: audiofolder
19
+ config: default
20
+ split: train
21
+ args: default
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.37136113296616835
26
+ ---
27
+
28
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
+ should probably proofread and complete it, then remove this comment. -->
30
+
31
+ # audio_consistency0.0.3
32
+
33
+ This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the audiofolder dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 1.0884
36
+ - Accuracy: 0.3714
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 5e-05
56
+ - train_batch_size: 64
57
+ - eval_batch_size: 64
58
+ - seed: 42
59
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
+ - lr_scheduler_type: linear
61
+ - lr_scheduler_warmup_ratio: 0.1
62
+ - num_epochs: 3
63
+
64
+ ### Training results
65
+
66
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | No log | 1.0 | 159 | 1.0888 | 0.3627 |
69
+ | No log | 2.0 | 318 | 1.0890 | 0.3714 |
70
+ | No log | 3.0 | 477 | 1.0884 | 0.3714 |
71
+
72
+
73
+ ### Framework versions
74
+
75
+ - Transformers 4.42.3
76
+ - Pytorch 2.1.2
77
+ - Datasets 2.20.0
78
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e8ffc07e02029823c875ef38b653cecf4a93b6e0ddbf72f886a29b91ccda8c2e
3
  size 378303396
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:903cc7007e6931bb61127e10353b2e05f5c1dc189edadb7f5bdee370be4ca546
3
  size 378303396