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: roberta-base-finetuned-osdg
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base-finetuned-osdg

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:
- eval_loss: 0.8286
- eval_Acc: 0.7746
- eval_runtime: 27.6597
- eval_samples_per_second: 116.126
- eval_steps_per_second: 3.652
- epoch: 1.0
- step: 904

## Model description

The model is trained on the data from OSDG (https://osdg.ai/)

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-06
- 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

### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
