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--- |
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license: mit |
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base_model: SamLowe/roberta-base-go_emotions |
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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: bert-finetuned-sem_eval-english |
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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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# bert-finetuned-sem_eval-english |
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This model is a fine-tuned version of [SamLowe/roberta-base-go_emotions](https://huggingface.co/SamLowe/roberta-base-go_emotions) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1189 |
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- F1: 0.5833 |
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- Roc Auc: 0.7555 |
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- Accuracy: 0.3939 |
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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: 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: 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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| No log | 1.0 | 29 | 0.1381 | 0.5217 | 0.7178 | 0.3030 | |
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| No log | 2.0 | 58 | 0.1193 | 0.5532 | 0.7367 | 0.3636 | |
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| No log | 3.0 | 87 | 0.1220 | 0.5417 | 0.7355 | 0.3636 | |
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| No log | 4.0 | 116 | 0.1189 | 0.5833 | 0.7555 | 0.3939 | |
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| No log | 5.0 | 145 | 0.1186 | 0.5833 | 0.7555 | 0.3939 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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