metadata
base_model: ai-forever/ruBert-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cc-rank-large
results: []
cc-rank-large
This model is a fine-tuned version of ai-forever/ruBert-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8567
- Accuracy: 0.7972
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6389 | 0.5666 | 200 | 0.5407 | 0.7191 |
| 0.4392 | 1.1331 | 400 | 0.4775 | 0.7929 |
| 0.2205 | 1.6997 | 600 | 0.6664 | 0.7759 |
| 0.1778 | 2.2663 | 800 | 1.0319 | 0.7858 |
| 0.1502 | 2.8329 | 1000 | 0.8464 | 0.7986 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1