| | ---
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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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| |
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| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # fine_tuned_2e-5
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| |
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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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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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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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| |
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| | ### Training results
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| |
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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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| |
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| | ### Framework versions
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| |
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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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| |
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