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--- |
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license: mit |
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base_model: FacebookAI/roberta-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: roberta-base-finetuned |
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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 |
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3330 |
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- F1: 0.9333 |
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- Roc Auc: 0.95 |
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- Accuracy: 0.9333 |
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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: 3 |
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- eval_batch_size: 3 |
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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 | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:| |
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| 0.0946 | 1.0 | 6461 | 0.2880 | 0.9 | 0.9250 | 0.9 | |
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| 0.0686 | 2.0 | 12922 | 0.2729 | 0.9 | 0.9250 | 0.9 | |
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| 0.0194 | 3.0 | 19383 | 1.0074 | 0.7833 | 0.8375 | 0.7833 | |
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| 0.0221 | 4.0 | 25844 | 0.3330 | 0.9333 | 0.95 | 0.9333 | |
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| 0.0036 | 5.0 | 32305 | 0.6225 | 0.85 | 0.8875 | 0.85 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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