---
tags:
- generated_from_trainer
base_model: kapliff89/roberta-base-finetuned-nmrv
model-index:
- name: roberta-base-finetuned-nmrv-finetuned-ced
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# roberta-base-finetuned-nmrv-finetuned-ced

This model is a fine-tuned version of [kapliff89/roberta-base-finetuned-nmrv](https://huggingface.co/kapliff89/roberta-base-finetuned-nmrv) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0018

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2579        | 1.0   | 188  | 0.0102          |
| 0.0176        | 2.0   | 376  | 0.0023          |
| 0.0048        | 3.0   | 564  | 0.0018          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1