fsicoli commited on
Commit
0934507
·
verified ·
1 Parent(s): bd1eacb

End of training

Browse files
README.md CHANGED
@@ -4,11 +4,24 @@ license: apache-2.0
4
  base_model: openai/whisper-medium
5
  tags:
6
  - generated_from_trainer
 
 
7
  metrics:
8
  - wer
9
  model-index:
10
  - name: whisper-medium-pt-cv16-fleurs2-lr
11
- results: []
 
 
 
 
 
 
 
 
 
 
 
12
  ---
13
 
14
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  # whisper-medium-pt-cv16-fleurs2-lr
18
 
19
- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.2088
22
- - Wer: 0.0932
23
 
24
  ## Model description
25
 
 
4
  base_model: openai/whisper-medium
5
  tags:
6
  - generated_from_trainer
7
+ datasets:
8
+ - fsicoli/cv16-fleurs
9
  metrics:
10
  - wer
11
  model-index:
12
  - name: whisper-medium-pt-cv16-fleurs2-lr
13
+ results:
14
+ - task:
15
+ name: Automatic Speech Recognition
16
+ type: automatic-speech-recognition
17
+ dataset:
18
+ name: fsicoli/cv16-fleurs default
19
+ type: fsicoli/cv16-fleurs
20
+ args: default
21
+ metrics:
22
+ - name: Wer
23
+ type: wer
24
+ value: 0.103035685451316
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
29
 
30
  # whisper-medium-pt-cv16-fleurs2-lr
31
 
32
+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the fsicoli/cv16-fleurs default dataset.
33
  It achieves the following results on the evaluation set:
34
+ - Loss: 0.1601
35
+ - Wer: 0.1030
36
 
37
  ## Model description
38
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 11.671335200746965,
3
+ "eval_loss": 0.16011084616184235,
4
+ "eval_runtime": 5392.3103,
5
+ "eval_samples": 9414,
6
+ "eval_samples_per_second": 1.746,
7
+ "eval_steps_per_second": 0.218,
8
+ "eval_wer": 0.103035685451316,
9
+ "total_flos": 4.081858297380864e+20,
10
+ "train_loss": 0.052512485960870985,
11
+ "train_runtime": 210665.5128,
12
+ "train_samples": 34267,
13
+ "train_samples_per_second": 1.899,
14
+ "train_steps_per_second": 0.119
15
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 11.671335200746965,
3
+ "eval_loss": 0.16011084616184235,
4
+ "eval_runtime": 5392.3103,
5
+ "eval_samples": 9414,
6
+ "eval_samples_per_second": 1.746,
7
+ "eval_steps_per_second": 0.218,
8
+ "eval_wer": 0.103035685451316
9
+ }
runs/Sep12_16-28-52_DITEC2014063010/events.out.tfevents.1726385594.DITEC2014063010 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d9ce82af397aeba26d4f52613f8d923b17306257c394b25100ebd35fcea8c676
3
+ size 40
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 11.671335200746965,
3
+ "total_flos": 4.081858297380864e+20,
4
+ "train_loss": 0.052512485960870985,
5
+ "train_runtime": 210665.5128,
6
+ "train_samples": 34267,
7
+ "train_samples_per_second": 1.899,
8
+ "train_steps_per_second": 0.119
9
+ }
trainer_state.json ADDED
The diff for this file is too large to render. See raw diff