ysdede commited on
Commit
4d7e9eb
·
verified ·
1 Parent(s): 149ed79

End of training

Browse files
Files changed (2) hide show
  1. README.md +79 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ language:
4
+ - tr
5
+ license: apache-2.0
6
+ base_model: openai/whisper-small
7
+ tags:
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: whisper-small-turkish-0
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
+ # whisper-small-turkish-0
18
+
19
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.2766
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 1e-05
41
+ - train_batch_size: 32
42
+ - eval_batch_size: 32
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: cosine
46
+ - lr_scheduler_warmup_ratio: 0.1
47
+ - training_steps: 45000
48
+ - mixed_precision_training: Native AMP
49
+
50
+ ### Training results
51
+
52
+ | Training Loss | Epoch | Step | Validation Loss |
53
+ |:-------------:|:------:|:-----:|:---------------:|
54
+ | 0.3721 | 0.0556 | 2500 | 0.3822 |
55
+ | 0.344 | 0.1111 | 5000 | 0.3584 |
56
+ | 0.3255 | 0.1667 | 7500 | 0.3362 |
57
+ | 0.2995 | 0.2222 | 10000 | 0.3249 |
58
+ | 0.2803 | 0.2778 | 12500 | 0.3112 |
59
+ | 0.2739 | 0.3333 | 15000 | 0.3050 |
60
+ | 0.2543 | 0.3889 | 17500 | 0.2985 |
61
+ | 0.2491 | 0.4444 | 20000 | 0.2923 |
62
+ | 0.2403 | 0.5 | 22500 | 0.2885 |
63
+ | 0.2231 | 0.5556 | 25000 | 0.2837 |
64
+ | 0.2131 | 0.6111 | 27500 | 0.2806 |
65
+ | 0.199 | 0.6667 | 30000 | 0.2795 |
66
+ | 0.1911 | 0.7222 | 32500 | 0.2774 |
67
+ | 0.181 | 0.7778 | 35000 | 0.2766 |
68
+ | 0.1855 | 0.8333 | 37500 | 0.2761 |
69
+ | 0.175 | 0.8889 | 40000 | 0.2766 |
70
+ | 0.1664 | 1.0394 | 42500 | 0.2770 |
71
+ | 0.1675 | 1.095 | 45000 | 0.2766 |
72
+
73
+
74
+ ### Framework versions
75
+
76
+ - Transformers 4.45.2
77
+ - Pytorch 2.5.1+cu124
78
+ - Datasets 3.2.0
79
+ - Tokenizers 0.20.3
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bf11ba884f8b78f828c0f8e3877a4e4c35d73ea80ed957ff7ebd5eaa8ee11ed1
3
  size 966995080
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60c5d5907d53528dada4e26105b377668ffd552e346670fb5a79bb23fb265cce
3
  size 966995080