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--- |
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license: mit |
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base_model: roberta-base |
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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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model-index: |
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- name: BLESSRelationTrain-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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# BLESSRelationTrain-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: 0.6280 |
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- Accuracy: 0.8473 |
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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: 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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 0.8 | 100 | 0.6965 | 0.5 | |
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| No log | 1.6 | 200 | 0.6828 | 0.5868 | |
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| No log | 2.4 | 300 | 0.7161 | 0.5 | |
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| No log | 3.2 | 400 | 0.6493 | 0.6377 | |
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| 0.6926 | 4.0 | 500 | 0.6856 | 0.5269 | |
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| 0.6926 | 4.8 | 600 | 0.6096 | 0.7784 | |
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| 0.6926 | 5.6 | 700 | 0.6265 | 0.8204 | |
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| 0.6926 | 6.4 | 800 | 0.8188 | 0.8054 | |
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| 0.6926 | 7.2 | 900 | 0.5995 | 0.8503 | |
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| 0.3811 | 8.0 | 1000 | 0.6280 | 0.8473 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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