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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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- recall |
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- f1 |
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model-index: |
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- name: non_green_as_train_context_roberta-large |
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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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# non_green_as_train_context_roberta-large |
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This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1773 |
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- Accuracy: 0.9776 |
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- Recall: 0.6993 |
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- F1: 0.7021 |
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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: 1e-05 |
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- train_batch_size: 16 |
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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: 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 | Accuracy | Recall | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:| |
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| 0.0584 | 1.0 | 7739 | 0.0916 | 0.9725 | 0.6942 | 0.6562 | |
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| 0.0451 | 2.0 | 15478 | 0.0905 | 0.9773 | 0.6700 | 0.6902 | |
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| 0.0296 | 3.0 | 23217 | 0.1112 | 0.9775 | 0.6912 | 0.6986 | |
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| 0.0141 | 4.0 | 30956 | 0.1487 | 0.9759 | 0.7366 | 0.6979 | |
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| 0.0102 | 5.0 | 38695 | 0.1773 | 0.9776 | 0.6993 | 0.7021 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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