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--- |
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base_model: ai-forever/ruT5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ruT5-EmotionNeutralization-MCHS |
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results: [] |
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language: |
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- ru |
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license: mit |
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--- |
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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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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 unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4056 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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|:-------------:|:-----:|:----:|:---------------:| |
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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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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Tokenizers 0.19.1 |
