Hugging Face's logo

UDA-LIDI
/
openai-whisper-large-v3-es_ecu911

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Spanish
whisper
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
DanielMarquez commited on
Commit
e0037a8
•
1 Parent(s): c0b515c

Model save

Browse files
Files changed (3) hide show
  1. README.md +11 -13
  2. model-00001-of-00002.safetensors +1 -1
  3. model-00002-of-00002.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,5 @@
1
  ---
2
  library_name: transformers
3
- language:
4
- - es
5
  license: apache-2.0
6
  base_model: openai/whisper-large-v3
7
  tags:
@@ -9,19 +7,19 @@ tags:
9
  metrics:
10
  - wer
11
  model-index:
12
- - name: Whisper openai-whisper-large-v3
13
  results: []
14
  ---
15
 
16
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
  should probably proofread and complete it, then remove this comment. -->
18
 
19
- # Whisper openai-whisper-large-v3
20
 
21
- This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the llamadas ecu911 dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 1.2315
24
- - Wer: 43.7368
25
 
26
  ## Model description
27
 
@@ -52,12 +50,12 @@ The following hyperparameters were used during training:
52
 
53
  ### Training results
54
 
55
- | Training Loss | Epoch | Step | Validation Loss | Wer |
56
- |:-------------:|:-------:|:----:|:---------------:|:-------:|
57
- | 0.3686 | 2.6596 | 500 | 0.6981 | 44.9331 |
58
- | 0.0432 | 5.3191 | 1000 | 0.9264 | 46.6397 |
59
- | 0.0082 | 7.9787 | 1500 | 1.0759 | 40.0246 |
60
- | 0.0012 | 10.6383 | 2000 | 1.2315 | 43.7368 |
61
 
62
 
63
  ### Framework versions
 
1
  ---
2
  library_name: transformers
 
 
3
  license: apache-2.0
4
  base_model: openai/whisper-large-v3
5
  tags:
 
7
  metrics:
8
  - wer
9
  model-index:
10
+ - name: openai-whisper-large-v3-es_ecu911
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
+ # openai-whisper-large-v3-es_ecu911
18
 
19
+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.2409
22
+ - Wer: 69.6717
23
 
24
  ## Model description
25
 
 
50
 
51
  ### Training results
52
 
53
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
54
+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
55
+ | 0.3656 | 2.6596 | 500 | 0.7653 | 44.0256 |
56
+ | 0.0496 | 5.3191 | 1000 | 0.9726 | 42.1605 |
57
+ | 0.0115 | 7.9787 | 1500 | 1.1578 | 111.6961 |
58
+ | 0.0015 | 10.6383 | 2000 | 1.2409 | 69.6717 |
59
 
60
 
61
  ### Framework versions
model-00001-of-00002.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:399e46a88fe8e588b67878c038e432061ec42ce47061ecc1c7c7e3d1111aa2b1
3
  size 4993448880
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1234aa9631e7bcdd48fff11ba41d3da7392fa33dab0f82315b190e620d1ee88f
3
  size 4993448880
model-00002-of-00002.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e3d8ea37b48f10ae1c30233598168f5df66215a36f509f3a1dfd48b552c405fa
3
  size 1180663192
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:743268367c2a6eb07ba59f12a0d60535bb2034a5aea27f392610442d436ffb2d
3
  size 1180663192