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--- |
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license: mit |
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base_model: mhr2004/plm-nsp-100000 |
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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: base-nsp-100000 |
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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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# base-nsp-100000 |
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This model is a fine-tuned version of [mhr2004/plm-nsp-100000](https://huggingface.co/mhr2004/plm-nsp-100000) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8933 |
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- Accuracy: 0.4877 |
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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: 20 |
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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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| 0.9735 | 1.0 | 183 | 0.8668 | 0.4811 | |
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| 0.8972 | 2.0 | 366 | 0.8636 | 0.4784 | |
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| 0.8381 | 3.0 | 549 | 0.8927 | 0.4613 | |
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| 0.8088 | 4.0 | 732 | 0.9399 | 0.4586 | |
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| 0.793 | 5.0 | 915 | 0.9159 | 0.4856 | |
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| 0.767 | 6.0 | 1098 | 0.9487 | 0.4793 | |
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| 0.7457 | 7.0 | 1281 | 0.9372 | 0.4946 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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