wesley321 commited on
Commit
a3e3758
1 Parent(s): 776a274

End of training

Browse files
Files changed (2) hide show
  1. README.md +86 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/wav2vec2-base
5
+ tags:
6
+ - generated_from_trainer
7
+ datasets:
8
+ - minds14
9
+ metrics:
10
+ - accuracy
11
+ model-index:
12
+ - name: my_awesome_mind_model
13
+ results:
14
+ - task:
15
+ name: Audio Classification
16
+ type: audio-classification
17
+ dataset:
18
+ name: minds14
19
+ type: minds14
20
+ config: en-US
21
+ split: train
22
+ args: en-US
23
+ metrics:
24
+ - name: Accuracy
25
+ type: accuracy
26
+ value: 0.07079646017699115
27
+ ---
28
+
29
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
30
+ should probably proofread and complete it, then remove this comment. -->
31
+
32
+ # my_awesome_mind_model
33
+
34
+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
35
+ It achieves the following results on the evaluation set:
36
+ - Loss: 2.6455
37
+ - Accuracy: 0.0708
38
+
39
+ ## Model description
40
+
41
+ More information needed
42
+
43
+ ## Intended uses & limitations
44
+
45
+ More information needed
46
+
47
+ ## Training and evaluation data
48
+
49
+ More information needed
50
+
51
+ ## Training procedure
52
+
53
+ ### Training hyperparameters
54
+
55
+ The following hyperparameters were used during training:
56
+ - learning_rate: 3e-05
57
+ - train_batch_size: 32
58
+ - eval_batch_size: 32
59
+ - seed: 42
60
+ - gradient_accumulation_steps: 4
61
+ - total_train_batch_size: 128
62
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
63
+ - lr_scheduler_type: linear
64
+ - lr_scheduler_warmup_ratio: 0.1
65
+ - num_epochs: 10
66
+
67
+ ### Training results
68
+
69
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
+ |:-------------:|:------:|:----:|:---------------:|:--------:|
71
+ | No log | 0.8 | 3 | 2.6377 | 0.0796 |
72
+ | No log | 1.8667 | 7 | 2.6416 | 0.0619 |
73
+ | 2.6367 | 2.9333 | 11 | 2.6396 | 0.0708 |
74
+ | 2.6367 | 4.0 | 15 | 2.6419 | 0.0885 |
75
+ | 2.6367 | 4.8 | 18 | 2.6448 | 0.0708 |
76
+ | 2.6243 | 5.8667 | 22 | 2.6460 | 0.0619 |
77
+ | 2.6243 | 6.9333 | 26 | 2.6459 | 0.0619 |
78
+ | 2.6205 | 8.0 | 30 | 2.6455 | 0.0708 |
79
+
80
+
81
+ ### Framework versions
82
+
83
+ - Transformers 4.44.2
84
+ - Pytorch 2.4.0
85
+ - Datasets 2.21.0
86
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3ff26a3d1719407b7584385de159f83bf71c1a9f9fcc4e08e440d280c527299b
3
  size 378314704
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6cebccd593db732566a05daa984f2a49922df90dcbf55f11fbc611ce4f485295
3
  size 378314704