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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/deberta-v3-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: deberta-v3-base-financial-inc-dec-ner |
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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-base-financial-inc-dec-ner |
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0416 |
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- Precision: 0.9291 |
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- Recall: 0.9704 |
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- F1: 0.9493 |
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- Accuracy: 0.9910 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 184 | 0.0454 | 0.9154 | 0.8815 | 0.8981 | 0.9843 | |
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| No log | 2.0 | 368 | 0.0444 | 0.9220 | 0.9630 | 0.9420 | 0.9903 | |
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| 0.0654 | 3.0 | 552 | 0.0416 | 0.9291 | 0.9704 | 0.9493 | 0.9910 | |
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| 0.0654 | 4.0 | 736 | 0.0422 | 0.9489 | 0.9630 | 0.9559 | 0.9918 | |
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| 0.0654 | 5.0 | 920 | 0.0451 | 0.9416 | 0.9556 | 0.9485 | 0.9910 | |
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| 0.0064 | 6.0 | 1104 | 0.0461 | 0.9416 | 0.9556 | 0.9485 | 0.9910 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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