robinhad commited on
Commit
e8db4c5
1 Parent(s): b238fdb

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +57 -0
README.md CHANGED
@@ -1,3 +1,60 @@
1
  ---
 
 
2
  license: mit
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - crh
4
  license: mit
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - wer
9
+ model-index:
10
+ - name: wav2vec2-xls-r-300m-crh
11
+ results: []
12
  ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # wav2vec2-xls-r-300m-crh
18
+
19
+ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the custom Crimean Tatar dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.738475
22
+ - Wer: 0.4494
23
+ - Cer: 0.1254
24
+
25
+ ## Model description
26
+
27
+ More information needed
28
+
29
+ ## Intended uses & limitations
30
+
31
+ More information needed
32
+
33
+ ## Training and evaluation data
34
+
35
+ More information needed
36
+
37
+ ## Training procedure
38
+
39
+ ### Training hyperparameters
40
+
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 3e-05
43
+ - train_batch_size: 24
44
+ - eval_batch_size: 8
45
+ - seed: 42
46
+ - gradient_accumulation_steps: 6
47
+ - total_train_batch_size: 144
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
50
+ - lr_scheduler_warmup_steps: 500
51
+ - num_epochs: 100
52
+ - mixed_precision_training: Native AMP
53
+
54
+
55
+ ### Framework versions
56
+
57
+ - Transformers 4.24.0
58
+ - Pytorch 1.13.0+cu117
59
+ - Datasets 2.6.1
60
+ - Tokenizers 0.13.1