metadata
base_model: ai-forever/ruT5-base
tags:
- generated_from_trainer
model-index:
- name: ruT5-EmotionNeutralization-MCHS
results: []
language:
- ru
license: mit
results
This model is a fine-tuned version of ai-forever/ruT5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4056
Model description
More information needed
Intended uses & limitations
More information needed
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0734 | 1.0 | 786 | 0.4548 |
| 0.5162 | 2.0 | 1572 | 0.4309 |
| 0.4561 | 3.0 | 2358 | 0.4134 |
| 0.4202 | 4.0 | 3144 | 0.4088 |
| 0.3939 | 5.0 | 3930 | 0.4072 |
| 0.3746 | 6.0 | 4716 | 0.4053 |
| 0.3637 | 7.0 | 5502 | 0.4054 |
| 0.3564 | 8.0 | 6288 | 0.4056 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1