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---
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license: mit
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base_model: FacebookAI/roberta-large
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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: fine_tuned_2e-5
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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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# fine_tuned_2e-5
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This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0598
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- Accuracy: 0.99
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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: 2e-05
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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: 3
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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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| 0.393 | 0.15 | 100 | 0.1670 | 0.97 |
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| 0.2681 | 0.3 | 200 | 0.2389 | 0.9583 |
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| 0.1241 | 0.44 | 300 | 0.0751 | 0.9883 |
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| 0.1371 | 0.59 | 400 | 0.0506 | 0.9867 |
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| 0.0888 | 0.74 | 500 | 0.0598 | 0.99 |
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| 0.1169 | 0.89 | 600 | 0.0633 | 0.9917 |
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| 0.0501 | 1.04 | 700 | 0.0804 | 0.9883 |
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| 0.0452 | 1.19 | 800 | 0.1110 | 0.9833 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.1+cu118
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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