End of training
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README.md
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---
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license: apache-2.0
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base_model: BSC-TeMU/roberta-base-bne
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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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- precision
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- recall
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model-index:
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- name: roberta-base-bne-finetuned-detests-wandb24
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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-bne-finetuned-detests-wandb24
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This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4065
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- Accuracy: 0.8527
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- F1-score: 0.7826
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- Precision: 0.7945
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- Recall: 0.7727
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- Auc: 0.7727
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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: 5e-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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
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| 0.3296 | 1.0 | 77 | 0.3456 | 0.8543 | 0.7671 | 0.8142 | 0.7408 | 0.7408 |
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| 0.1555 | 2.0 | 154 | 0.4065 | 0.8527 | 0.7826 | 0.7945 | 0.7727 | 0.7727 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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model.safetensors
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runs/Feb12_09-39-40_93f51a08e000/events.out.tfevents.1707730980.93f51a08e000.1197.0
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