saketag73 commited on
Commit
8d685ec
1 Parent(s): 8068f4a

End of training

Browse files
README.md ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/wav2vec2-base
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - minds14
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: wav2vec2-base-finetuned-minds-1
12
+ results:
13
+ - task:
14
+ name: Audio Classification
15
+ type: audio-classification
16
+ dataset:
17
+ name: minds14
18
+ type: minds14
19
+ config: en-US
20
+ split: train
21
+ args: en-US
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.7610619469026548
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
+ # wav2vec2-base-finetuned-minds-1
32
+
33
+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 1.4208
36
+ - Accuracy: 0.7611
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: 8
57
+ - eval_batch_size: 8
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: 10
63
+ - mixed_precision_training: Native AMP
64
+
65
+ ### Training results
66
+
67
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
68
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
69
+ | 2.6059 | 1.0 | 57 | 2.5954 | 0.0973 |
70
+ | 2.5183 | 2.0 | 114 | 2.5787 | 0.0973 |
71
+ | 2.5497 | 3.0 | 171 | 2.5629 | 0.1416 |
72
+ | 2.3827 | 4.0 | 228 | 2.5407 | 0.1858 |
73
+ | 2.309 | 5.0 | 285 | 2.3023 | 0.2301 |
74
+ | 2.0098 | 6.0 | 342 | 2.0528 | 0.3540 |
75
+ | 1.797 | 7.0 | 399 | 1.8558 | 0.4602 |
76
+ | 1.4416 | 8.0 | 456 | 1.6847 | 0.5841 |
77
+ | 1.3491 | 9.0 | 513 | 1.4911 | 0.6991 |
78
+ | 1.3468 | 10.0 | 570 | 1.4208 | 0.7611 |
79
+
80
+
81
+ ### Framework versions
82
+
83
+ - Transformers 4.38.2
84
+ - Pytorch 2.2.1+cu121
85
+ - Datasets 2.18.0
86
+ - Tokenizers 0.15.2
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:93381100059e729f4818fcacdcc227acc9e3afdcfc5d11ad643991d78abf918a
3
  size 378314704
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:964e5687bb0751c4b26ff79ed55f9ab38574f5890befdc4e1eca802c12a43941
3
  size 378314704
runs/Apr17_07-31-47_f4e83704e1b8/events.out.tfevents.1713339160.f4e83704e1b8.6205.1 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c03c020b1e7a93afd92b1ce231e5eda23e116f6a75a7653c77ebcee00dfe28c2
3
- size 26090
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd6971c4a318853149f5234252cad11bfd425f576aeb6ad91a9e477ef9b18274
3
+ size 34587