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--- |
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base_model: MoritzLaurer/deberta-v3-large-zeroshot-v2.0 |
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library_name: peft |
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license: mit |
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metrics: |
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- accuracy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arceasy |
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results: [] |
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datasets: |
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- allenai/ai2_arc |
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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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# fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arceasy |
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This model is a fine-tuned version of [MoritzLaurer/deberta-v3-large-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v2.0) on ARC-Easy dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7638 |
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- Accuracy: 0.8368 |
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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: 1.5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 6 |
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- mixed_precision_training: Native AMP |
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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 | 141 | 0.4862 | 0.8281 | |
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| No log | 2.0 | 282 | 0.4829 | 0.8439 | |
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| No log | 3.0 | 423 | 0.6579 | 0.8456 | |
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| 0.3419 | 4.0 | 564 | 0.6815 | 0.8404 | |
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| 0.3419 | 5.0 | 705 | 0.7499 | 0.8404 | |
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| 0.3419 | 6.0 | 846 | 0.7638 | 0.8368 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
