End of training
Browse files- README.md +19 -19
- generation_config.json +10 -18
README.md
CHANGED
|
@@ -1,21 +1,21 @@
|
|
| 1 |
---
|
| 2 |
-
base_model: openai/whisper-base
|
| 3 |
-
datasets:
|
| 4 |
-
- fleurs
|
| 5 |
language:
|
| 6 |
- it
|
| 7 |
license: apache-2.0
|
| 8 |
-
|
| 9 |
-
- wer
|
| 10 |
tags:
|
| 11 |
- hf-asr-leaderboard
|
| 12 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
model-index:
|
| 14 |
-
- name: Whisper Tiny
|
| 15 |
results:
|
| 16 |
- task:
|
| 17 |
-
type: automatic-speech-recognition
|
| 18 |
name: Automatic Speech Recognition
|
|
|
|
| 19 |
dataset:
|
| 20 |
name: Google Fleurs
|
| 21 |
type: fleurs
|
|
@@ -23,20 +23,20 @@ model-index:
|
|
| 23 |
split: None
|
| 24 |
args: 'config: it split: test'
|
| 25 |
metrics:
|
| 26 |
-
-
|
| 27 |
-
|
| 28 |
-
|
| 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 Tiny
|
| 35 |
|
| 36 |
-
This model is a fine-tuned version of [openai/whisper-
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
-
- Loss: 0.
|
| 39 |
-
- Wer:
|
| 40 |
|
| 41 |
## Model description
|
| 42 |
|
|
@@ -69,11 +69,11 @@ The following hyperparameters were used during training:
|
|
| 69 |
|
| 70 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 71 |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
|
| 72 |
-
| 0.
|
| 73 |
-
| 0.
|
| 74 |
-
| 0.
|
| 75 |
-
| 0.
|
| 76 |
-
| 0.
|
| 77 |
|
| 78 |
|
| 79 |
### Framework versions
|
|
|
|
| 1 |
---
|
|
|
|
|
|
|
|
|
|
| 2 |
language:
|
| 3 |
- it
|
| 4 |
license: apache-2.0
|
| 5 |
+
base_model: openai/whisper-tiny
|
|
|
|
| 6 |
tags:
|
| 7 |
- hf-asr-leaderboard
|
| 8 |
- generated_from_trainer
|
| 9 |
+
datasets:
|
| 10 |
+
- fleurs
|
| 11 |
+
metrics:
|
| 12 |
+
- wer
|
| 13 |
model-index:
|
| 14 |
+
- name: Whisper Tiny Italian 5k - Chee Li
|
| 15 |
results:
|
| 16 |
- task:
|
|
|
|
| 17 |
name: Automatic Speech Recognition
|
| 18 |
+
type: automatic-speech-recognition
|
| 19 |
dataset:
|
| 20 |
name: Google Fleurs
|
| 21 |
type: fleurs
|
|
|
|
| 23 |
split: None
|
| 24 |
args: 'config: it split: test'
|
| 25 |
metrics:
|
| 26 |
+
- name: Wer
|
| 27 |
+
type: wer
|
| 28 |
+
value: 50.93909245328804
|
| 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 Tiny Italian 5k - Chee Li
|
| 35 |
|
| 36 |
+
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Google Fleurs dataset.
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
+
- Loss: 0.6896
|
| 39 |
+
- Wer: 50.9391
|
| 40 |
|
| 41 |
## Model description
|
| 42 |
|
|
|
|
| 69 |
|
| 70 |
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 71 |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
|
| 72 |
+
| 0.195 | 4.6729 | 1000 | 0.4900 | 53.7054 |
|
| 73 |
+
| 0.0248 | 9.3458 | 2000 | 0.5791 | 61.4365 |
|
| 74 |
+
| 0.0076 | 14.0187 | 3000 | 0.6469 | 54.1907 |
|
| 75 |
+
| 0.0044 | 18.6916 | 4000 | 0.6788 | 51.7641 |
|
| 76 |
+
| 0.0036 | 23.3645 | 5000 | 0.6896 | 50.9391 |
|
| 77 |
|
| 78 |
|
| 79 |
### Framework versions
|
generation_config.json
CHANGED
|
@@ -1,36 +1,28 @@
|
|
| 1 |
{
|
| 2 |
"alignment_heads": [
|
| 3 |
[
|
| 4 |
-
|
| 5 |
-
1
|
| 6 |
-
],
|
| 7 |
-
[
|
| 8 |
-
4,
|
| 9 |
2
|
| 10 |
],
|
| 11 |
[
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
],
|
| 15 |
-
[
|
| 16 |
-
4,
|
| 17 |
-
7
|
| 18 |
],
|
| 19 |
[
|
| 20 |
-
|
| 21 |
-
|
| 22 |
],
|
| 23 |
[
|
| 24 |
-
|
| 25 |
-
|
| 26 |
],
|
| 27 |
[
|
| 28 |
-
|
| 29 |
4
|
| 30 |
],
|
| 31 |
[
|
| 32 |
-
|
| 33 |
-
|
| 34 |
]
|
| 35 |
],
|
| 36 |
"begin_suppress_tokens": [
|
|
|
|
| 1 |
{
|
| 2 |
"alignment_heads": [
|
| 3 |
[
|
| 4 |
+
2,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
2
|
| 6 |
],
|
| 7 |
[
|
| 8 |
+
3,
|
| 9 |
+
0
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
],
|
| 11 |
[
|
| 12 |
+
3,
|
| 13 |
+
2
|
| 14 |
],
|
| 15 |
[
|
| 16 |
+
3,
|
| 17 |
+
3
|
| 18 |
],
|
| 19 |
[
|
| 20 |
+
3,
|
| 21 |
4
|
| 22 |
],
|
| 23 |
[
|
| 24 |
+
3,
|
| 25 |
+
5
|
| 26 |
]
|
| 27 |
],
|
| 28 |
"begin_suppress_tokens": [
|