End of training
Browse files- README.md +9 -6
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jan22_05-44-48_ip-172-31-23-125/events.out.tfevents.1705925484.ip-172-31-23-125.30010.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1320 -0
README.md
CHANGED
@@ -1,21 +1,24 @@
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1 |
---
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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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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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-
name: common_voice_16_0
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-
type: common_voice_16_0
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config: tr
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split: test
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args: tr
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@@ -28,9 +31,9 @@ model-index:
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<!-- 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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-
#
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-
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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It achieves the following results on the evaluation set:
|
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- Loss: 0.4280
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36 |
- Wer: 30.3627
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---
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+
language:
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+
- tr
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4 |
license: apache-2.0
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5 |
base_model: openai/whisper-base
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tags:
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+
- whisper-event
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- generated_from_trainer
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datasets:
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+
- mozilla-foundation/common_voice_16_0
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metrics:
|
12 |
- wer
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model-index:
|
14 |
+
- name: Whisper Base Turkish
|
15 |
results:
|
16 |
- task:
|
17 |
name: Automatic Speech Recognition
|
18 |
type: automatic-speech-recognition
|
19 |
dataset:
|
20 |
+
name: mozilla-foundation/common_voice_16_0 tr
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+
type: mozilla-foundation/common_voice_16_0
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22 |
config: tr
|
23 |
split: test
|
24 |
args: tr
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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 |
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34 |
+
# Whisper Base Turkish
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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 tr dataset.
|
37 |
It achieves the following results on the evaluation set:
|
38 |
- Loss: 0.4280
|
39 |
- Wer: 30.3627
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all_results.json
ADDED
@@ -0,0 +1,12 @@
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+
{
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"epoch": 14.04,
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+
"eval_loss": 0.4279767870903015,
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4 |
+
"eval_runtime": 786.1244,
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5 |
+
"eval_samples_per_second": 14.037,
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6 |
+
"eval_steps_per_second": 0.439,
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+
"eval_wer": 30.362728902323294,
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+
"train_loss": 0.3546683967590332,
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+
"train_runtime": 22389.8509,
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+
"train_samples_per_second": 14.292,
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+
"train_steps_per_second": 0.223
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+
}
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eval_results.json
ADDED
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{
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"epoch": 14.04,
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+
"eval_loss": 0.4279767870903015,
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+
"eval_runtime": 786.1244,
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+
"eval_samples_per_second": 14.037,
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+
"eval_steps_per_second": 0.439,
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+
"eval_wer": 30.362728902323294
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+
}
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runs/Jan22_05-44-48_ip-172-31-23-125/events.out.tfevents.1705925484.ip-172-31-23-125.30010.1
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:6bb31e5cbc968c936ca56988b507b6593e74fea6672be7e10a242b1364fddd01
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+
size 406
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train_results.json
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+
{
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"epoch": 14.04,
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+
"train_loss": 0.3546683967590332,
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+
"train_runtime": 22389.8509,
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+
"train_samples_per_second": 14.292,
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+
"train_steps_per_second": 0.223
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+
}
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trainer_state.json
ADDED
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