results
This model is a fine-tuned version of ai-forever/ruT5-base on an anonymized Emergency calls dataset. It achieves the following results on the evaluation set:
- Loss: 0.3848
- ParaScore: 0.8265
Model description
More information needed
Intended uses & limitations
Neutralization of emotional speech
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1
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Model tree for ZovutVanya/ruT5-EmotionNeutralization
Base model
ai-forever/ruT5-base