transformers tensorboard safetensors bert fill-mask generated_from_trainer base_model:DeepPavlov/rubert-base-cased autotrain_compatible endpoints_compatible region:us
---
base_model: DeepPavlov/rubert-base-cased
tags:
- generated_from_trainer
model-index:
- name: rubert-base-cased-finetuned-wikitext2
  results: []
---

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# rubert-base-cased-finetuned-wikitext2

This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0632

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8619        | 1.0   | 922  | 3.2829          |
| 3.3181        | 2.0   | 1844 | 3.1604          |
| 3.1436        | 3.0   | 2766 | 3.1173          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
