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fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arceasy

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  1. README.md +13 -17
  2. model.safetensors +1 -1
README.md CHANGED
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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
@@ -18,10 +15,10 @@ 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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  | 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
 
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  ---
 
 
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  license: mit
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+ base_model: MoritzLaurer/deberta-v3-large-zeroshot-v2.0
 
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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: fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arceasy
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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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  # 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8119
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+ - Accuracy: 0.8333
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 141 | 0.4737 | 0.8246 |
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+ | No log | 2.0 | 282 | 0.5577 | 0.8246 |
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+ | No log | 3.0 | 423 | 0.6516 | 0.8298 |
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+ | 0.3413 | 4.0 | 564 | 0.7210 | 0.8333 |
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+ | 0.3413 | 5.0 | 705 | 0.7613 | 0.8386 |
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+ | 0.3413 | 6.0 | 846 | 0.8119 | 0.8333 |
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  ### Framework versions
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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
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