---
base_model: ai-forever/ruBert-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cc-rank-large
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cc-rank-large

This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingface.co/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