metadata
base_model: DeepPavlov/rubert-base-cased-conversational
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_model
results: []
my_model
This model is a fine-tuned version of DeepPavlov/rubert-base-cased-conversational on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1517
- Accuracy: 0.9568
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7699 | 1.0 | 881 | 0.2688 | 0.9057 |
| 0.268 | 2.0 | 1762 | 0.1825 | 0.9412 |
| 0.1903 | 3.0 | 2643 | 0.1592 | 0.9497 |
| 0.1528 | 4.0 | 3524 | 0.1506 | 0.9526 |
| 0.133 | 5.0 | 4405 | 0.1448 | 0.9551 |
| 0.1104 | 6.0 | 5286 | 0.1410 | 0.9579 |
| 0.0965 | 7.0 | 6167 | 0.1517 | 0.9568 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1