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README.md
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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: Classifier_with_external_sets_03
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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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# Classifier_with_external_sets_03
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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: 0.6931
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- Accuracy: 0.5034
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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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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- num_epochs: 10
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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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| No log | 0.9983 | 289 | 0.6943 | 0.5034 |
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| 0.7019 | 2.0 | 579 | 0.6932 | 0.4966 |
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| 0.7019 | 2.9983 | 868 | 0.7004 | 0.5034 |
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| 0.6978 | 4.0 | 1158 | 0.6968 | 0.4966 |
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| 0.6978 | 4.9983 | 1447 | 0.6953 | 0.4966 |
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| 0.6961 | 6.0 | 1737 | 0.6932 | 0.5034 |
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| 0.6958 | 6.9983 | 2026 | 0.6932 | 0.5034 |
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| 0.6958 | 8.0 | 2316 | 0.6934 | 0.4966 |
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| 0.6942 | 8.9983 | 2605 | 0.6940 | 0.5034 |
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| 0.6942 | 9.9827 | 2890 | 0.6931 | 0.5034 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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