End of training
Browse files- README.md +12 -9
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Feb17_05-48-49_ip-172-31-68-44/events.out.tfevents.1708179513.ip-172-31-68-44.38499.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +2520 -0
README.md
CHANGED
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@@ -1,39 +1,42 @@
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| 1 |
---
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| 2 |
license: apache-2.0
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base_model: openai/whisper-base
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tags:
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- generated_from_trainer
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datasets:
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-
- common_voice_16_0
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metrics:
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- wer
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model-index:
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-
- name:
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results:
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| 13 |
- task:
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| 14 |
name: Automatic Speech Recognition
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type: automatic-speech-recognition
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| 16 |
dataset:
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-
name: common_voice_16_0
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-
type: common_voice_16_0
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| 19 |
config: ko
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| 20 |
split: test
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| 21 |
args: ko
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| 22 |
metrics:
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| 23 |
- name: Wer
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| 24 |
type: wer
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| 25 |
-
value:
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| 26 |
---
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| 27 |
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| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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| 30 |
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| 31 |
-
#
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| 32 |
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| 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.
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| 34 |
It achieves the following results on the evaluation set:
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| 35 |
-
- Loss: 0.
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| 36 |
-
- Wer:
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| 37 |
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| 38 |
## Model description
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| 39 |
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| 1 |
---
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| 2 |
+
language:
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| 3 |
+
- ko
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| 4 |
license: apache-2.0
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| 5 |
base_model: openai/whisper-base
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| 6 |
tags:
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| 7 |
+
- whisper-event
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| 8 |
- generated_from_trainer
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| 9 |
datasets:
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| 10 |
+
- mozilla-foundation/common_voice_16_0
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| 11 |
metrics:
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| 12 |
- wer
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| 13 |
model-index:
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| 14 |
+
- name: Whisper Base Korean
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| 15 |
results:
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| 16 |
- task:
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| 17 |
name: Automatic Speech Recognition
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| 18 |
type: automatic-speech-recognition
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| 19 |
dataset:
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| 20 |
+
name: mozilla-foundation/common_voice_16_0 ko
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| 21 |
+
type: mozilla-foundation/common_voice_16_0
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| 22 |
config: ko
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| 23 |
split: test
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| 24 |
args: ko
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| 25 |
metrics:
|
| 26 |
- name: Wer
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| 27 |
type: wer
|
| 28 |
+
value: 45.5026455026455
|
| 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. -->
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| 33 |
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| 34 |
+
# Whisper Base Korean
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| 35 |
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| 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 ko dataset.
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
+
- Loss: 0.6687
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| 39 |
+
- Wer: 45.5026
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| 40 |
|
| 41 |
## Model description
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| 42 |
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all_results.json
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{
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"epoch": 1333.0,
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| 3 |
+
"eval_loss": 0.6687414050102234,
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| 4 |
+
"eval_runtime": 23.7652,
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| 5 |
+
"eval_samples_per_second": 11.403,
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| 6 |
+
"eval_steps_per_second": 0.379,
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| 7 |
+
"eval_wer": 45.5026455026455,
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| 8 |
+
"train_loss": 0.017836267329892144,
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| 9 |
+
"train_runtime": 30544.6776,
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| 10 |
+
"train_samples_per_second": 20.953,
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| 11 |
+
"train_steps_per_second": 0.327
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| 12 |
+
}
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eval_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 1333.0,
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+
"eval_loss": 0.6687414050102234,
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| 4 |
+
"eval_runtime": 23.7652,
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| 5 |
+
"eval_samples_per_second": 11.403,
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| 6 |
+
"eval_steps_per_second": 0.379,
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| 7 |
+
"eval_wer": 45.5026455026455
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| 8 |
+
}
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runs/Feb17_05-48-49_ip-172-31-68-44/events.out.tfevents.1708179513.ip-172-31-68-44.38499.1
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:0f3d0f6579880e3c0bf802d2e5e001be0cb855ff5da6fe12c741840ce855ac27
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+
size 406
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train_results.json
ADDED
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{
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"epoch": 1333.0,
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+
"train_loss": 0.017836267329892144,
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| 4 |
+
"train_runtime": 30544.6776,
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| 5 |
+
"train_samples_per_second": 20.953,
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| 6 |
+
"train_steps_per_second": 0.327
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+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,2520 @@
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