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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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metrics: |
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- f1 |
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model-index: |
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- name: roberta-base-finetuned-OIG-mod-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-base-finetuned-OIG-mod-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: 0.4275 |
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- F1: 0.8487 |
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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: 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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.7205 | 0.36 | 5000 | 0.6986 | 0.7007 | |
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| 0.6821 | 0.71 | 10000 | 0.6765 | 0.6998 | |
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| 0.6114 | 1.07 | 15000 | 0.6385 | 0.7281 | |
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| 0.5854 | 1.42 | 20000 | 0.6077 | 0.7404 | |
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| 0.5726 | 1.78 | 25000 | 0.5842 | 0.7572 | |
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| 0.4938 | 2.13 | 30000 | 0.5740 | 0.7722 | |
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| 0.4752 | 2.49 | 35000 | 0.5379 | 0.7847 | |
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| 0.473 | 2.84 | 40000 | 0.5139 | 0.7976 | |
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| 0.4042 | 3.2 | 45000 | 0.4977 | 0.8106 | |
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| 0.3909 | 3.55 | 50000 | 0.4783 | 0.8199 | |
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| 0.3779 | 3.91 | 55000 | 0.4507 | 0.8352 | |
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| 0.3341 | 4.26 | 60000 | 0.4542 | 0.8365 | |
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| 0.3202 | 4.62 | 65000 | 0.4333 | 0.8465 | |
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| 0.3101 | 4.97 | 70000 | 0.4275 | 0.8487 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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