hanasim commited on
Commit
074ccb8
1 Parent(s): 2bb7561

Model save

Browse files
README.md CHANGED
@@ -1,42 +1,39 @@
1
  ---
2
- language:
3
- - te
4
  license: apache-2.0
5
  base_model: openai/whisper-base
6
  tags:
7
- - whisper-event
8
  - generated_from_trainer
9
  datasets:
10
- - mozilla-foundation/common_voice_16_0
11
  metrics:
12
  - wer
13
  model-index:
14
- - name: Breeze DSW Telugu - base
15
  results:
16
  - task:
17
  name: Automatic Speech Recognition
18
  type: automatic-speech-recognition
19
  dataset:
20
- name: mozilla-foundation/common_voice_16_0 te
21
- type: mozilla-foundation/common_voice_16_0
22
  config: te
23
  split: test
24
  args: te
25
  metrics:
26
  - name: Wer
27
  type: wer
28
- value: 89.28571428571429
29
  ---
30
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
32
  should probably proofread and complete it, then remove this comment. -->
33
 
34
- # Breeze DSW Telugu - base
35
 
36
- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 te dataset.
37
  It achieves the following results on the evaluation set:
38
- - Loss: 2.0469
39
- - Wer: 89.2857
40
 
41
  ## Model description
42
 
@@ -68,10 +65,9 @@ The following hyperparameters were used during training:
68
 
69
  ### Training results
70
 
71
- | Training Loss | Epoch | Step | Validation Loss | Wer |
72
- |:-------------:|:-----:|:----:|:---------------:|:-------:|
73
- | 0.0007 | 99.0 | 200 | 2.0469 | 89.2857 |
74
- | 0.0002 | 199.0 | 400 | 2.2441 | 90.6593 |
75
 
76
 
77
  ### Framework versions
 
1
  ---
 
 
2
  license: apache-2.0
3
  base_model: openai/whisper-base
4
  tags:
 
5
  - generated_from_trainer
6
  datasets:
7
+ - common_voice_16_0
8
  metrics:
9
  - wer
10
  model-index:
11
+ - name: breeze-listen-dsw-base-te
12
  results:
13
  - task:
14
  name: Automatic Speech Recognition
15
  type: automatic-speech-recognition
16
  dataset:
17
+ name: common_voice_16_0
18
+ type: common_voice_16_0
19
  config: te
20
  split: test
21
  args: te
22
  metrics:
23
  - name: Wer
24
  type: wer
25
+ value: 3.3333333333333335
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
  should probably proofread and complete it, then remove this comment. -->
30
 
31
+ # breeze-listen-dsw-base-te
32
 
33
+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.0546
36
+ - Wer: 3.3333
37
 
38
  ## Model description
39
 
 
65
 
66
  ### Training results
67
 
68
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
69
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
70
+ | 0.0008 | 99.0 | 200 | 0.0546 | 3.3333 |
 
71
 
72
 
73
  ### Framework versions
runs/Jan21_11-23-38_knight/events.out.tfevents.1705832638.knight.60836.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0cfc26cf9554c0a95975b8023a0bc9fb44dc644ce0266777afeb4027a4cf2e72
3
- size 7054
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e5ed359c19271b5890e532c8661586e97a94d6e064ebfc8dd30ef1261426f58
3
+ size 7368
runs/Jan21_12-33-49_knight/events.out.tfevents.1705836848.knight.61506.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b1bff24041fc6789c7f14b08e834404eafee79a58ea9dc004eb336a44c79880
3
+ size 5849
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a08ee5a0674e97a45820bfbd2363b11918d4a78f5ee9567abb26f5305e48f0d2
3
  size 6712
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b7a7eeb4303101c4347af0a8740abec541689bc9658d70fecc1f9ebd46607872
3
  size 6712