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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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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: roberta-large-condaqa-neg-tag-token-classifier |
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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-large-condaqa-neg-tag-token-classifier |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0268 |
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- Precision: 0.0 |
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- Recall: 0.0 |
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- F1: 0.0 |
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- Accuracy: 0.9899 |
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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: 256 |
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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: 6.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:| |
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| No log | 1.0 | 4 | 0.1526 | 0.0 | 0.0 | 0.0 | 0.9588 | |
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| No log | 2.0 | 8 | 0.0875 | 0.0 | 0.0 | 0.0 | 0.9588 | |
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| No log | 3.0 | 12 | 0.0396 | 0.0 | 0.0 | 0.0 | 0.9877 | |
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| No log | 4.0 | 16 | 0.0322 | 0.0 | 0.0 | 0.0 | 0.9899 | |
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| No log | 5.0 | 20 | 0.0270 | 0.0 | 0.0 | 0.0 | 0.9906 | |
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| No log | 6.0 | 24 | 0.0268 | 0.0 | 0.0 | 0.0 | 0.9899 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- Pytorch 1.10.1 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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