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--- |
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license: mit |
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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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base_model: microsoft/deberta-v3-large |
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model-index: |
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- name: deberta-v3-large__sst2__train-8-0 |
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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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# deberta-v3-large__sst2__train-8-0 |
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7088 |
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- Accuracy: 0.5008 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 50 |
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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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| 0.6705 | 1.0 | 3 | 0.7961 | 0.25 | |
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| 0.6571 | 2.0 | 6 | 0.8092 | 0.25 | |
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| 0.7043 | 3.0 | 9 | 0.7977 | 0.25 | |
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| 0.6207 | 4.0 | 12 | 0.8478 | 0.25 | |
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| 0.5181 | 5.0 | 15 | 0.9782 | 0.25 | |
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| 0.4136 | 6.0 | 18 | 1.3151 | 0.25 | |
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| 0.3702 | 7.0 | 21 | 1.8633 | 0.25 | |
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| 0.338 | 8.0 | 24 | 2.2119 | 0.25 | |
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| 0.2812 | 9.0 | 27 | 2.3058 | 0.25 | |
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| 0.2563 | 10.0 | 30 | 2.3353 | 0.25 | |
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| 0.2132 | 11.0 | 33 | 2.5921 | 0.25 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2 |
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- Tokenizers 0.10.3 |
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