sdg_1 sdg_10 sdg_11 sdg_12 sdg_13 sdg_14 sdg_15 sdg_2 sdg_3 sdg_4 sdg_5 sdg_6 sdg_7 sdg_8 sdg_9
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-osdg
  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. -->

# xlm-roberta-base-finetuned-osdg

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6747
- Acc: 0.8296

## 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: 6e-07
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.552         | 1.0   | 509  | 0.6801          | 0.8229 |
| 0.5261        | 2.0   | 1018 | 0.6821          | 0.8218 |
| 0.5518        | 3.0   | 1527 | 0.6770          | 0.8246 |
| 0.4856        | 4.0   | 2036 | 0.6781          | 0.8279 |
| 0.5427        | 5.0   | 2545 | 0.6748          | 0.8318 |
| 0.5049        | 6.0   | 3054 | 0.6769          | 0.8290 |
| 0.5155        | 7.0   | 3563 | 0.6756          | 0.8307 |
| 0.503         | 8.0   | 4072 | 0.6763          | 0.8296 |
| 0.5009        | 9.0   | 4581 | 0.6741          | 0.8301 |
| 0.555         | 10.0  | 5090 | 0.6747          | 0.8296 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
