Commit
•
f8fabf9
1
Parent(s):
2d05f74
End of training
Browse files- README.md +3 -2
- all_results.json +12 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +2998 -0
README.md
CHANGED
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@@ -1,6 +1,7 @@
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---
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base_model: microsoft/wavlm-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -16,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- Accuracy: 0.
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## Model description
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---
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base_model: microsoft/wavlm-base
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tags:
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+
- audio-classification
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- generated_from_trainer
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metrics:
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- accuracy
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This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0244
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+
- Accuracy: 0.9966
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## Model description
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all_results.json
ADDED
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{
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"epoch": 49.91,
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"eval_accuracy": 0.9965786507808726,
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"eval_loss": 0.024423159658908844,
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"eval_runtime": 501.2432,
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"eval_samples_per_second": 49.565,
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"eval_steps_per_second": 24.782,
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"train_loss": 0.3200095210412536,
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"train_runtime": 116243.9445,
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"train_samples_per_second": 10.917,
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"train_steps_per_second": 0.17
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}
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eval_results.json
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{
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"epoch": 49.91,
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+
"eval_accuracy": 0.9965786507808726,
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"eval_loss": 0.024423159658908844,
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"eval_runtime": 501.2432,
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"eval_samples_per_second": 49.565,
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"eval_steps_per_second": 24.782
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}
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train_results.json
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{
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"epoch": 49.91,
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"train_loss": 0.3200095210412536,
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"train_runtime": 116243.9445,
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"train_samples_per_second": 10.917,
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"train_steps_per_second": 0.17
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}
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trainer_state.json
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