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: 0.1583
- Accuracy: 0.9542
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.223 | 1.0 | 3524 | 0.1747 | 0.9438 |
| 0.1435 | 2.0 | 7048 | 0.1583 | 0.9542 |
| 0.0892 | 3.0 | 10572 | 0.1824 | 0.9562 |
| 0.05 | 4.0 | 14096 | 0.2020 | 0.9578 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1