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--- |
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license: mit |
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base_model: MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli |
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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: 10k-finetune |
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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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# 10k-finetune |
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This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3357 |
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- Accuracy: 0.8730 |
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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-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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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: 0.06 |
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- num_epochs: 3 |
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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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| 0.4093 | 0.33 | 20 | 0.4616 | 0.8115 | |
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| 0.2952 | 0.66 | 40 | 0.3984 | 0.8238 | |
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| 0.2775 | 0.99 | 60 | 0.3357 | 0.8730 | |
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| 0.1836 | 1.32 | 80 | 0.3674 | 0.8402 | |
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| 0.1772 | 1.65 | 100 | 0.3687 | 0.8361 | |
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| 0.1502 | 1.98 | 120 | 0.3730 | 0.8443 | |
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| 0.1245 | 2.31 | 140 | 0.3966 | 0.8402 | |
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| 0.1226 | 2.64 | 160 | 0.3719 | 0.8566 | |
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| 0.1166 | 2.98 | 180 | 0.3768 | 0.8484 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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