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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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base_model: roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: roberta-mc-2
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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-mc-2
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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: 1.5972
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- Accuracy: 0.4
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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-06
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 10
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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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| 1.6096 | 1.0 | 24 | 1.6086 | 0.3 |
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| 1.614 | 2.0 | 48 | 1.6083 | 0.4 |
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| 1.6032 | 3.0 | 72 | 1.6070 | 0.4 |
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| 1.6185 | 4.0 | 96 | 1.6057 | 0.4 |
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| 1.6106 | 5.0 | 120 | 1.6045 | 0.4 |
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| 1.6093 | 6.0 | 144 | 1.6028 | 0.4 |
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| 1.597 | 7.0 | 168 | 1.6010 | 0.4 |
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| 1.6094 | 8.0 | 192 | 1.5994 | 0.4 |
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| 1.6029 | 9.0 | 216 | 1.5977 | 0.4 |
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| 1.5997 | 10.0 | 240 | 1.5972 | 0.4 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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