End of training
Browse files- README.md +12 -9
- all_results.json +12 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +1273 -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-base
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tags:
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- generated_from_trainer
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datasets:
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-
- common_voice_13_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_13_0
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-
type: common_voice_13_0
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config: eu
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split: test
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args: eu
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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-base](https://huggingface.co/openai/whisper-base) on the common_voice_13_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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+
- eu
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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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+
- whisper-event
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- generated_from_trainer
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datasets:
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+
- mozilla-foundation/common_voice_13_0
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metrics:
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- wer
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model-index:
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+
- name: Whisper Base Basque
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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_13_0 eu
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+
type: mozilla-foundation/common_voice_13_0
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config: eu
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split: test
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args: eu
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metrics:
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- name: Wer
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type: wer
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+
value: 25.977155818380655
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---
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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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33 |
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34 |
+
# Whisper Base Basque
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+
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_13_0 eu dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.5520
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+
- Wer: 25.9772
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## Model description
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all_results.json
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{
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"epoch": 48.01,
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"eval_loss": 0.5520183444023132,
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+
"eval_runtime": 671.8275,
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+
"eval_samples_per_second": 9.811,
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+
"eval_steps_per_second": 0.153,
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+
"eval_wer": 25.977155818380655,
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+
"train_loss": 0.07347059211265296,
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+
"train_runtime": 65946.469,
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+
"train_samples_per_second": 9.705,
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"train_steps_per_second": 0.076
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}
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eval_results.json
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{
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"epoch": 48.01,
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"eval_loss": 0.5520183444023132,
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+
"eval_runtime": 671.8275,
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+
"eval_samples_per_second": 9.811,
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+
"eval_steps_per_second": 0.153,
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"eval_wer": 25.977155818380655
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}
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train_results.json
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{
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"epoch": 48.01,
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"train_loss": 0.07347059211265296,
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+
"train_runtime": 65946.469,
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+
"train_samples_per_second": 9.705,
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"train_steps_per_second": 0.076
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}
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trainer_state.json
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