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--- |
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license: mit |
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base_model: microsoft/deberta-v3-large |
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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: 1_microsoft_deberta_V1.0 |
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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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# 1_microsoft_deberta_V1.0 |
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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: 1.0849 |
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- Map@3: 0.7725 |
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- Accuracy: 0.665 |
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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: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 25 |
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- total_train_batch_size: 50 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 60 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Map@3 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| |
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| 1.6098 | 0.01 | 10 | 1.6090 | 0.6108 | 0.475 | |
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| 1.6057 | 0.02 | 20 | 1.6027 | 0.7375 | 0.625 | |
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| 1.5615 | 0.03 | 30 | 1.4516 | 0.7458 | 0.64 | |
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| 1.2061 | 0.03 | 40 | 1.2130 | 0.7292 | 0.595 | |
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| 1.1028 | 0.04 | 50 | 1.0947 | 0.765 | 0.65 | |
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| 1.0682 | 0.05 | 60 | 1.0849 | 0.7725 | 0.665 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.3 |
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