metadata
base_model: ai-forever/ruRoberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: logs
results: []
logs
This model is a fine-tuned version of ai-forever/ruRoberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8738
- Accuracy: 0.2116
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 95 | 4.0504 | 0.0 |
| No log | 2.0 | 190 | 3.5087 | 0.0529 |
| No log | 3.0 | 285 | 3.1335 | 0.1958 |
| No log | 4.0 | 380 | 2.8738 | 0.2116 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2