ZovutVanya
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Update README.md
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README.md
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@@ -15,9 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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# results
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This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on an
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 1.0734 | 1.0 | 786 | 0.4548 |
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| 0.5162 | 2.0 | 1572 | 0.4309 |
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| 0.4561 | 3.0 | 2358 | 0.4134 |
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| 0.4202 | 4.0 | 3144 | 0.4088 |
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| 0.3939 | 5.0 | 3930 | 0.4072 |
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| 0.3746 | 6.0 | 4716 | 0.4053 |
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| 0.3637 | 7.0 | 5502 | 0.4054 |
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| 0.3564 | 8.0 | 6288 | 0.4056 |
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### Framework versions
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# results
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This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on an MCHS anonymized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3848
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- ParaScore: 0.8265
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## Model description
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## Intended uses & limitations
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Neutralization of emotional speech
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## Training and evaluation data
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Framework versions
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