Hugging Face's logo

spellingdragon
/
whisper-small-zh-foriegn

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Chinese
whisper
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
spellingdragon commited on
Commit
ab0f021
·
1 Parent(s): 90a9ea3

End of training

Browse files
Files changed (4) hide show
  1. README.md +5 -12
  2. adapter_model.safetensors +1 -1
  3. runs/Jan07_11-42-42_d6e4a11eee01/events.out.tfevents.1704627763.d6e4a11eee01.1317.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 9 dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.2235
23
 
24
  ## Model description
25
 
@@ -39,10 +39,10 @@ More information needed
39
 
40
  The following hyperparameters were used during training:
41
  - learning_rate: 0.001
42
- - train_batch_size: 2
43
  - eval_batch_size: 8
44
  - seed: 42
45
- - gradient_accumulation_steps: 4
46
  - total_train_batch_size: 8
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
@@ -54,19 +54,12 @@ The following hyperparameters were used during training:
54
 
55
  | Training Loss | Epoch | Step | Validation Loss |
56
  |:-------------:|:-----:|:----:|:---------------:|
57
- | 0.2446 | 0.36 | 500 | 0.3424 |
58
- | 0.3316 | 0.73 | 1000 | 0.3260 |
59
- | 0.2777 | 1.09 | 1500 | 0.2939 |
60
- | 0.1808 | 1.45 | 2000 | 0.2944 |
61
- | 0.1822 | 1.82 | 2500 | 0.2589 |
62
- | 0.1206 | 2.18 | 3000 | 0.2468 |
63
- | 0.0715 | 2.54 | 3500 | 0.2319 |
64
- | 0.0642 | 2.91 | 4000 | 0.2235 |
65
 
66
 
67
  ### Framework versions
68
 
69
  - Transformers 4.35.2
70
  - Pytorch 2.1.0+cu121
71
- - Datasets 2.15.0
72
  - Tokenizers 0.15.0
 
19
 
20
  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 9 dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.9294
23
 
24
  ## Model description
25
 
 
39
 
40
  The following hyperparameters were used during training:
41
  - learning_rate: 0.001
42
+ - train_batch_size: 4
43
  - eval_batch_size: 8
44
  - seed: 42
45
+ - gradient_accumulation_steps: 2
46
  - total_train_batch_size: 8
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
 
54
 
55
  | Training Loss | Epoch | Step | Validation Loss |
56
  |:-------------:|:-----:|:----:|:---------------:|
57
+ | 0.3178 | 1.54 | 3000 | 0.9294 |
 
 
 
 
 
 
 
58
 
59
 
60
  ### Framework versions
61
 
62
  - Transformers 4.35.2
63
  - Pytorch 2.1.0+cu121
64
+ - Datasets 2.16.1
65
  - Tokenizers 0.15.0
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:92d4f4b3c69b7d1c965a6754616c1d598bd40d53f71b24be0b07b044a34e64f4
3
  size 14176064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6bdc58772d663d4b6b1b7b5a5e3d8b21c8955be37441259f048a844b1688a9ef
3
  size 14176064
runs/Jan07_11-42-42_d6e4a11eee01/events.out.tfevents.1704627763.d6e4a11eee01.1317.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1d9f6ddfe99e5acef966594529e55a13218dc0579eebef42ee0516b24b6c747
3
+ size 6804
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0d713f347acb1e26d4873cf3be75889b99d2e72e6e28b14831209a691ac58e40
3
  size 4728
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8ff937627869ef02a00b1dc5f14e4f77a55c3fd24cc6035692fe4c854d2ee8c
3
  size 4728