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update model card README.md
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README.md
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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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datasets:
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- stereoset
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metrics:
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- accuracy
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model-index:
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- name: stereoset_trainer_roberta-base_finetuned
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: stereoset
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type: stereoset
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config: intersentence
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split: validation
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args: intersentence
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7535321821036107
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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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# stereoset_trainer_roberta-base_finetuned
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the stereoset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5749
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- Accuracy: 0.7535
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.54 | 50 | 0.6919 | 0.5157 |
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| No log | 1.08 | 100 | 0.6944 | 0.4843 |
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| No log | 1.61 | 150 | 0.6275 | 0.6664 |
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| No log | 2.15 | 200 | 0.5548 | 0.7355 |
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| No log | 2.69 | 250 | 0.5613 | 0.7331 |
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| No log | 3.23 | 300 | 0.6062 | 0.7331 |
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| No log | 3.76 | 350 | 0.5455 | 0.7488 |
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| No log | 4.3 | 400 | 0.6223 | 0.7488 |
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| No log | 4.84 | 450 | 0.5749 | 0.7535 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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