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--- |
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base_model: Patcas/my_awesome-assert-new |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: plbartAssert-docnew-v2 |
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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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# plbartAssert-docnew-v2 |
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This model is a fine-tuned version of [Patcas/my_awesome-assert-new](https://huggingface.co/Patcas/my_awesome-assert-new) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9764 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 230 | 1.1573 | |
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| No log | 2.0 | 460 | 0.9996 | |
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| 1.3727 | 3.0 | 690 | 0.9757 | |
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| 1.3727 | 4.0 | 920 | 0.9605 | |
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| 0.4516 | 5.0 | 1150 | 0.9732 | |
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| 0.4516 | 6.0 | 1380 | 0.9845 | |
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| 0.2234 | 7.0 | 1610 | 0.9685 | |
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| 0.2234 | 8.0 | 1840 | 0.9745 | |
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| 0.136 | 9.0 | 2070 | 0.9773 | |
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| 0.136 | 10.0 | 2300 | 0.9764 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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