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--- |
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base_model: bobbyw/deberta-v3-large_relationships_v3.2 |
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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: deberta-v3-large_relationships_v3.2 |
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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_relationships_v3.2 |
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This model is a fine-tuned version of [bobbyw/deberta-v3-large_relationships_v3.2](https://huggingface.co/bobbyw/deberta-v3-large_relationships_v3.2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0079 |
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- Accuracy: 0.0017 |
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- F1: 0.0020 |
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- Precision: 0.0010 |
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- Recall: 0.4398 |
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- Learning Rate: 0.001 |
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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: 1e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: constant |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:| |
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| 0.0022 | 1.0 | 4106 | 0.0076 | 0.0015 | 0.0022 | 0.0011 | 0.4722 | 0.001 | |
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| 0.0026 | 2.0 | 8212 | 0.0080 | 0.0017 | 0.0020 | 0.0010 | 0.4306 | 0.001 | |
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| 0.0021 | 3.0 | 12318 | 0.0079 | 0.0017 | 0.0020 | 0.0010 | 0.4398 | 0.001 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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