mazkooleg commited on
Commit
adc0bd5
1 Parent(s): ee0e99e

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +66 -0
README.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
+ model-index:
8
+ - name: wav2vec2-base-ft
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # wav2vec2-base-ft
16
+
17
+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.0156
20
+ - Accuracy: 0.9964
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 1e-05
40
+ - train_batch_size: 32
41
+ - eval_batch_size: 32
42
+ - seed: 42
43
+ - gradient_accumulation_steps: 4
44
+ - total_train_batch_size: 128
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: linear
47
+ - lr_scheduler_warmup_ratio: 0.1
48
+ - num_epochs: 5
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
53
+ |:-------------:|:-----:|:-----:|:--------:|:---------------:|
54
+ | 0.0905 | 1.0 | 8558 | 0.9952 | 0.0197 |
55
+ | 0.0572 | 2.0 | 17117 | 0.9964 | 0.0156 |
56
+ | 0.0597 | 3.0 | 25674 | 0.9955 | 0.0181 |
57
+ | 0.0396 | 4.0 | 34232 | 0.9950 | 0.0207 |
58
+ | 0.0399 | 5.0 | 42790 | 0.9938 | 0.0249 |
59
+
60
+
61
+ ### Framework versions
62
+
63
+ - Transformers 4.27.2
64
+ - Pytorch 1.11.0
65
+ - Datasets 2.10.1
66
+ - Tokenizers 0.12.1