3 Epochs test. Val qwk 0.76
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: deberta-v3-small-essay-grading-classification
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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-small-essay-grading-classification
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8790
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- Qwk: 0.7595
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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: 32
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- eval_batch_size: 32
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 433 | 0.9495 | 0.7132 |
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| 1.0266 | 2.0 | 866 | 0.8787 | 0.7561 |
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| 1.0266 | 3.0 | 1299 | 0.8790 | 0.7595 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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runs/Jun05_00-20-35_aed7eed369c2/events.out.tfevents.1717546839.aed7eed369c2.3992.0
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size 6790
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