alikanakar commited on
Commit
e4e25a1
1 Parent(s): 1e9eb12

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +57 -0
README.md ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: whisper-synthesized-turkish-8-hour-llr
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # whisper-synthesized-turkish-8-hour-llr
14
+
15
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - eval_loss: 0.2166
18
+ - eval_wer: 13.5662
19
+ - eval_runtime: 518.2334
20
+ - eval_samples_per_second: 1.482
21
+ - eval_steps_per_second: 0.185
22
+ - epoch: 18.75
23
+ - step: 3600
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: 1e-06
43
+ - train_batch_size: 16
44
+ - eval_batch_size: 8
45
+ - seed: 42
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - lr_scheduler_warmup_steps: 500
49
+ - training_steps: 4000
50
+ - mixed_precision_training: Native AMP
51
+
52
+ ### Framework versions
53
+
54
+ - Transformers 4.28.0
55
+ - Pytorch 2.0.0+cu118
56
+ - Datasets 2.11.0
57
+ - Tokenizers 0.13.3