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End of training

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README.md CHANGED
@@ -22,8 +22,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FullDatabase dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6790
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- - Wer: 0.4187
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  ## Model description
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@@ -55,12 +55,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | 1.398 | 0.4762 | 20 | 1.5259 | 0.3767 |
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- | 1.211 | 0.9524 | 40 | 1.1977 | 0.3499 |
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- | 1.7856 | 1.4286 | 60 | 1.4056 | 0.5985 |
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- | 0.6241 | 1.9048 | 80 | 0.7924 | 0.4417 |
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- | 0.8817 | 2.3810 | 100 | 0.7137 | 0.4034 |
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- | 0.2795 | 2.8571 | 120 | 0.6790 | 0.4187 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FullDatabase dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6805
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+ - Wer: 0.3365
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 2.7049 | 0.4762 | 20 | 2.4821 | 0.4627 |
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+ | 1.3583 | 0.9524 | 40 | 1.3041 | 0.3862 |
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+ | 1.2276 | 1.4286 | 60 | 0.9667 | 0.3958 |
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+ | 0.6298 | 1.9048 | 80 | 0.7598 | 0.3537 |
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+ | 0.945 | 2.3810 | 100 | 0.7089 | 0.3537 |
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+ | 0.3522 | 2.8571 | 120 | 0.6805 | 0.3365 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -32,8 +32,8 @@
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  "rank_pattern": {},
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  "target_modules": [
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  ],
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  "target_parameters": null,
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  "task_type": null,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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  "target_parameters": null,
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