imvladikon commited on
Commit
4d5e5ab
1 Parent(s): 7953bb5

End of training

Browse files
Files changed (2) hide show
  1. README.md +69 -0
  2. generation_config.json +15 -0
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - he
4
+ license: apache-2.0
5
+ base_model: openai/whisper-medium
6
+ tags:
7
+ - generated_from_trainer
8
+ metrics:
9
+ - wer
10
+ model-index:
11
+ - name: whisper-medium-he
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ # whisper-medium-he
19
+
20
+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the imvladikon/hebrew_speech_coursera dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 0.2042
23
+ - Wer: 12.9071
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-05
43
+ - train_batch_size: 1
44
+ - eval_batch_size: 1
45
+ - seed: 42
46
+ - gradient_accumulation_steps: 2
47
+ - total_train_batch_size: 2
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
+ - training_steps: 4000
52
+ - mixed_precision_training: Native AMP
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
57
+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
58
+ | 0.1865 | 0.1 | 1000 | 0.3587 | 21.4973 |
59
+ | 0.2601 | 0.2 | 2000 | 0.2673 | 17.1157 |
60
+ | 0.2033 | 0.3 | 3000 | 0.2238 | 14.4325 |
61
+ | 0.1988 | 0.39 | 4000 | 0.2042 | 12.9071 |
62
+
63
+
64
+ ### Framework versions
65
+
66
+ - Transformers 4.36.0.dev0
67
+ - Pytorch 2.1.0+cu118
68
+ - Datasets 2.15.0
69
+ - Tokenizers 0.15.0
generation_config.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "begin_suppress_tokens": [
3
+ 220,
4
+ 50257
5
+ ],
6
+ "bos_token_id": 50257,
7
+ "decoder_start_token_id": 50258,
8
+ "eos_token_id": 50257,
9
+ "max_length": 448,
10
+ "pad_token_id": 50257,
11
+ "return_timestamps": false,
12
+ "suppress_tokens": [],
13
+ "transformers_version": "4.36.0.dev0",
14
+ "use_cache": false
15
+ }