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--- |
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license: mit |
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base_model: mhr2004/roberta-large-nsp-1000000-1e-06-32 |
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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: condaqa-roberta-large-nsp-1000000-1e-06-32-512-1e-05-8 |
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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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# condaqa-roberta-large-nsp-1000000-1e-06-32-512-1e-05-8 |
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This model is a fine-tuned version of [mhr2004/roberta-large-nsp-1000000-1e-06-32](https://huggingface.co/mhr2004/roberta-large-nsp-1000000-1e-06-32) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7947 |
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- Accuracy: 0.6388 |
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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: 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: 25 |
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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 | 1.0 | 183 | 0.8783 | 0.4703 | |
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| 0.9921 | 2.0 | 366 | 0.7887 | 0.6027 | |
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| 0.8971 | 3.0 | 549 | 0.8484 | 0.5802 | |
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| 0.7713 | 4.0 | 732 | 0.7501 | 0.6595 | |
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| 0.638 | 5.0 | 915 | 0.9089 | 0.6486 | |
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| 0.5261 | 6.0 | 1098 | 0.8858 | 0.6604 | |
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| 0.4307 | 7.0 | 1281 | 0.9207 | 0.6477 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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