zuazo commited on
Commit
a267c05
1 Parent(s): fc93831

End of training

Browse files
README.md CHANGED
@@ -1,39 +1,42 @@
1
  ---
 
 
2
  license: apache-2.0
3
  base_model: openai/whisper-base
4
  tags:
 
5
  - generated_from_trainer
6
  datasets:
7
- - common_voice_16_1
8
  metrics:
9
  - wer
10
  model-index:
11
- - name: openai/whisper-base
12
  results:
13
  - task:
14
  name: Automatic Speech Recognition
15
  type: automatic-speech-recognition
16
  dataset:
17
- name: common_voice_16_1
18
- type: common_voice_16_1
19
  config: eu
20
  split: test
21
  args: eu
22
  metrics:
23
  - name: Wer
24
  type: wer
25
- value: 16.431530404877286
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
- # openai/whisper-base
32
 
33
- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_1 dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.6085
36
- - Wer: 16.4315
37
 
38
  ## Model description
39
 
 
1
  ---
2
+ language:
3
+ - eu
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_1
11
  metrics:
12
  - wer
13
  model-index:
14
+ - name: Whisper Base Basque
15
  results:
16
  - task:
17
  name: Automatic Speech Recognition
18
  type: automatic-speech-recognition
19
  dataset:
20
+ name: mozilla-foundation/common_voice_16_1 eu
21
+ type: mozilla-foundation/common_voice_16_1
22
  config: eu
23
  split: test
24
  args: eu
25
  metrics:
26
  - name: Wer
27
  type: wer
28
+ value: 16.17652806002814
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
+ # Whisper Base Basque
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_1 eu dataset.
37
  It achieves the following results on the evaluation set:
38
+ - Loss: 0.5038
39
+ - Wer: 16.1765
40
 
41
  ## Model description
42
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 400.0,
3
+ "eval_loss": 0.5037948489189148,
4
+ "eval_runtime": 155.9887,
5
+ "eval_samples_per_second": 81.685,
6
+ "eval_steps_per_second": 1.282,
7
+ "eval_wer": 16.17652806002814,
8
+ "train_loss": 0.008819907821263906,
9
+ "train_runtime": 68982.7856,
10
+ "train_samples_per_second": 148.443,
11
+ "train_steps_per_second": 0.58
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 400.0,
3
+ "eval_loss": 0.5037948489189148,
4
+ "eval_runtime": 155.9887,
5
+ "eval_samples_per_second": 81.685,
6
+ "eval_steps_per_second": 1.282,
7
+ "eval_wer": 16.17652806002814
8
+ }
runs/Apr06_12-25-48_hyperion-255/events.out.tfevents.1712470345.hyperion-255 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da68cb9262dc44a3971782779ec502d3a093766c01d071b2bbc166295417e031
3
+ size 40
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 400.0,
3
+ "train_loss": 0.008819907821263906,
4
+ "train_runtime": 68982.7856,
5
+ "train_samples_per_second": 148.443,
6
+ "train_steps_per_second": 0.58
7
+ }
trainer_state.json ADDED
The diff for this file is too large to render. See raw diff