End of training
Browse files- README.md +9 -6
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Apr13_10-23-07_hyperion-256/events.out.tfevents.1713515367.hyperion-256 +3 -0
- train_results.json +7 -0
- trainer_state.json +0 -0
README.md
CHANGED
@@ -1,21 +1,24 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: openai/whisper-medium
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
-
- common_voice_16_1
|
8 |
metrics:
|
9 |
- wer
|
10 |
model-index:
|
11 |
-
- name:
|
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
|
@@ -28,9 +31,9 @@ model-index:
|
|
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 |
-
#
|
32 |
|
33 |
-
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_16_1 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
- Loss: 0.4303
|
36 |
- Wer: 9.2006
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- eu
|
4 |
license: apache-2.0
|
5 |
base_model: openai/whisper-medium
|
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 Medium 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
|
|
|
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 Medium Basque
|
35 |
|
36 |
+
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_16_1 eu dataset.
|
37 |
It achieves the following results on the evaluation set:
|
38 |
- Loss: 0.4303
|
39 |
- Wer: 9.2006
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 401.0,
|
3 |
+
"eval_loss": 0.43030694127082825,
|
4 |
+
"eval_runtime": 1405.0781,
|
5 |
+
"eval_samples_per_second": 9.069,
|
6 |
+
"eval_steps_per_second": 0.284,
|
7 |
+
"eval_wer": 9.200601844614663,
|
8 |
+
"train_loss": 0.004462987120796424,
|
9 |
+
"train_runtime": 517255.1062,
|
10 |
+
"train_samples_per_second": 19.797,
|
11 |
+
"train_steps_per_second": 0.077
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 401.0,
|
3 |
+
"eval_loss": 0.43030694127082825,
|
4 |
+
"eval_runtime": 1405.0781,
|
5 |
+
"eval_samples_per_second": 9.069,
|
6 |
+
"eval_steps_per_second": 0.284,
|
7 |
+
"eval_wer": 9.200601844614663
|
8 |
+
}
|
runs/Apr13_10-23-07_hyperion-256/events.out.tfevents.1713515367.hyperion-256
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:000b79aa1517a56dc11a6c24a36ffe222e0030d0e3d0e85d9a3f83a116ea23da
|
3 |
+
size 40
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 401.0,
|
3 |
+
"train_loss": 0.004462987120796424,
|
4 |
+
"train_runtime": 517255.1062,
|
5 |
+
"train_samples_per_second": 19.797,
|
6 |
+
"train_steps_per_second": 0.077
|
7 |
+
}
|
trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|