End of training
Browse files- README.md +16 -4
- all_results.json +15 -0
- eval_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1095 -0
README.md
CHANGED
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@@ -4,11 +4,23 @@ license: apache-2.0
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base_model: Leonel-Maia/fongbe-whisper-small
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-small-tf
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-
results:
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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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@@ -16,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
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# whisper-small-tf
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-
This model is a fine-tuned version of [Leonel-Maia/fongbe-whisper-small](https://huggingface.co/Leonel-Maia/fongbe-whisper-small) on
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- Wer: 0.
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## Model description
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base_model: Leonel-Maia/fongbe-whisper-small
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tags:
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- generated_from_trainer
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+
datasets:
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- Leonel-Maia/ewe_dataset
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metrics:
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- wer
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model-index:
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- name: whisper-small-tf
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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: Leonel-Maia/ewe_dataset
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type: Leonel-Maia/ewe_dataset
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metrics:
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- name: Wer
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type: wer
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value: 0.3810818307905687
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---
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| 25 |
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| 26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-small-tf
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+
This model is a fine-tuned version of [Leonel-Maia/fongbe-whisper-small](https://huggingface.co/Leonel-Maia/fongbe-whisper-small) on the Leonel-Maia/ewe_dataset dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.4403
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- Wer: 0.3811
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,15 @@
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{
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"epoch": 12.281442392260335,
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"eval_loss": 0.44026532769203186,
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"eval_runtime": 1221.4109,
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"eval_samples": 1607,
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"eval_samples_per_second": 1.316,
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"eval_steps_per_second": 0.329,
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"eval_wer": 0.3810818307905687,
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"total_flos": 3.2234989215744e+19,
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"train_loss": 0.28376776227780753,
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"train_runtime": 61744.3298,
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"train_samples": 9095,
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"train_samples_per_second": 8.838,
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"train_steps_per_second": 0.276
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}
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eval_results.json
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{
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"epoch": 12.281442392260335,
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"eval_loss": 0.44026532769203186,
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"eval_runtime": 1221.4109,
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"eval_samples": 1607,
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"eval_samples_per_second": 1.316,
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"eval_steps_per_second": 0.329,
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"eval_wer": 0.3810818307905687
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}
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train_results.json
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{
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"epoch": 12.281442392260335,
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"total_flos": 3.2234989215744e+19,
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"train_loss": 0.28376776227780753,
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"train_runtime": 61744.3298,
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"train_samples": 9095,
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"train_samples_per_second": 8.838,
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"train_steps_per_second": 0.276
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}
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trainer_state.json
ADDED
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