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 +946 -0
README.md
CHANGED
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@@ -4,11 +4,23 @@ 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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metrics:
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- wer
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model-index:
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- name: whisper-small-splitted
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-
results:
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---
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| 13 |
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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-splitted
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-
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/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: openai/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/fongbe-splitted
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metrics:
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- wer
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model-index:
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- name: whisper-small-splitted
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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/fongbe-splitted
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type: Leonel-Maia/fongbe-splitted
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metrics:
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- name: Wer
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type: wer
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+
value: 0.11257288805358778
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| 24 |
---
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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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| 28 |
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| 29 |
# whisper-small-splitted
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| 30 |
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+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Leonel-Maia/fongbe-splitted dataset.
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It achieves the following results on the evaluation set:
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| 33 |
+
- Loss: 0.1084
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+
- Wer: 0.1126
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| 36 |
## Model description
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| 37 |
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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": 12.656151419558359,
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"eval_loss": 0.10838954150676727,
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"eval_runtime": 1153.8599,
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"eval_samples": 3259,
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"eval_samples_per_second": 2.824,
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"eval_steps_per_second": 0.706,
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"eval_wer": 0.11257288805358778,
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"total_flos": 5.55469178535936e+19,
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"train_loss": 0.17092564110457897,
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"train_runtime": 92948.5763,
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"train_samples": 15213,
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"train_samples_per_second": 9.82,
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"train_steps_per_second": 0.153
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}
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eval_results.json
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{
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"epoch": 12.656151419558359,
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"eval_loss": 0.10838954150676727,
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"eval_runtime": 1153.8599,
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"eval_samples": 3259,
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"eval_samples_per_second": 2.824,
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"eval_steps_per_second": 0.706,
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"eval_wer": 0.11257288805358778
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}
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train_results.json
ADDED
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{
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"epoch": 12.656151419558359,
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"total_flos": 5.55469178535936e+19,
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"train_loss": 0.17092564110457897,
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"train_runtime": 92948.5763,
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"train_samples": 15213,
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"train_samples_per_second": 9.82,
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"train_steps_per_second": 0.153
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}
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trainer_state.json
ADDED
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