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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-finetuned-sdg
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta-base-finetuned-sdg
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4993
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- Acc: 0.9024
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- distributed_type: multi-GPU
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Acc |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.4679 | 1.0 | 254 | 0.3660 | 0.8963 |
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| 0.3578 | 2.0 | 508 | 0.3689 | 0.9019 |
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| 0.2739 | 3.0 | 762 | 0.3284 | 0.9035 |
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| 0.1841 | 4.0 | 1016 | 0.3763 | 0.9019 |
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| 0.1127 | 5.0 | 1270 | 0.4174 | 0.9024 |
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| 0.0822 | 6.0 | 1524 | 0.4523 | 0.9013 |
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| 0.0329 | 7.0 | 1778 | 0.4829 | 0.9030 |
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| 0.0157 | 8.0 | 2032 | 0.4993 | 0.9024 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.0a0+8a1a93a
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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