---
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta_nbx_all_l
  results: []
---

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# roberta_nbx_all_l

This model is a fine-tuned version of [roberta-base](https://huggingface.co./roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4231

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4142        | 1.0   | 1949  | 0.3892          |
| 0.0962        | 2.0   | 3898  | 0.3523          |
| 0.2092        | 3.0   | 5847  | 0.3674          |
| 0.2436        | 4.0   | 7796  | 0.3654          |
| 0.0776        | 5.0   | 9745  | 0.3609          |
| 0.1534        | 6.0   | 11694 | 0.3578          |
| 0.0653        | 7.0   | 13643 | 0.4346          |
| 0.0016        | 8.0   | 15592 | 0.3912          |
| 0.0267        | 9.0   | 17541 | 0.4162          |
| 0.0551        | 10.0  | 19490 | 0.4231          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.19.2
- Tokenizers 0.15.0