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--- |
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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: problem2-test |
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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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# problem2-test |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.2281 |
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- Accuracy: 0.5574 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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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 | 0.9 | 7 | 6.2748 | 0.0 | |
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| 7.4671 | 1.9 | 14 | 5.1777 | 0.5738 | |
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| 5.3033 | 2.9 | 21 | 4.4616 | 0.5902 | |
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| 5.3033 | 3.9 | 28 | 5.1811 | 0.5246 | |
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| 4.1105 | 4.9 | 35 | 4.2281 | 0.5574 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.6.0 |
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- Tokenizers 0.13.1 |
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