End of training
Browse files- README.md +12 -9
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Apr15_16-30-25_ip-172-31-23-125/events.out.tfevents.1713220995.ip-172-31-23-125.1113.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +675 -0
README.md
CHANGED
@@ -1,39 +1,42 @@
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---
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license: apache-2.0
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base_model: openai/whisper-small
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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: vi
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split: test
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args: vi
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metrics:
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- name: Wer
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type: wer
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-
value:
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---
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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-small](https://huggingface.co/openai/whisper-small) 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.
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-
- Wer:
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## Model description
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---
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+
language:
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- vi
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license: apache-2.0
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base_model: openai/whisper-small
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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:
|
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- wer
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model-index:
|
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+
- name: Whisper Small Vienamese
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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: mozilla-foundation/common_voice_16_0 vi
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type: mozilla-foundation/common_voice_16_0
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config: vi
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split: test
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args: vi
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metrics:
|
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- name: Wer
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type: wer
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+
value: 24.56800162634682
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---
|
30 |
|
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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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+
# Whisper Small Vienamese
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+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_16_0 vi dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.6705
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+
- Wer: 24.5680
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|
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## Model description
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all_results.json
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{
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"eval_loss": 0.6704666614532471,
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"eval_steps_per_second": 0.168,
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"train_samples_per_second": 7.258,
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"train_steps_per_second": 0.113
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}
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eval_results.json
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{
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"eval_samples_per_second": 5.289,
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"eval_steps_per_second": 0.168,
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"eval_wer": 24.56800162634682
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}
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runs/Apr15_16-30-25_ip-172-31-23-125/events.out.tfevents.1713220995.ip-172-31-23-125.1113.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:b04ecf7868397b6c0a6c5d7a8964c310f03e6bd6e445f6a3af83083275b708d3
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size 406
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train_results.json
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{
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}
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trainer_state.json
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