leobg/legistorm-categorizer-seqclass-deberta-240122-v1a
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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-small
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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: legistorm-categorizer-seqclass-deberta-v1
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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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# legistorm-categorizer-seqclass-deberta-v1
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This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0265
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- Accuracy: 0.9954
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- F1: 0.9623
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- Precision: 0.9814
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- Recall: 0.9439
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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: 24
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- eval_batch_size: 24
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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 | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| No log | 0.25 | 456 | 0.0191 | 0.9957 | 0.9644 | 0.9973 | 0.9337 |
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| 0.0725 | 0.5 | 912 | 0.0176 | 0.9960 | 0.9671 | 1.0 | 0.9362 |
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| 0.0044 | 0.75 | 1368 | 0.0161 | 0.9963 | 0.9699 | 0.9973 | 0.9439 |
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| 0.0015 | 1.0 | 1824 | 0.0183 | 0.9963 | 0.9699 | 0.9973 | 0.9439 |
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| 0.0007 | 1.25 | 2280 | 0.0189 | 0.9962 | 0.9686 | 0.9946 | 0.9439 |
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| 0.0004 | 1.5 | 2736 | 0.0197 | 0.9962 | 0.9686 | 0.9946 | 0.9439 |
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| 0.0003 | 1.75 | 3192 | 0.0181 | 0.9963 | 0.9699 | 0.9946 | 0.9464 |
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| 0.0002 | 2.0 | 3648 | 0.0210 | 0.9957 | 0.9647 | 0.9893 | 0.9413 |
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| 0.0001 | 2.25 | 4104 | 0.0224 | 0.9959 | 0.9661 | 0.9893 | 0.9439 |
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| 0.0001 | 2.5 | 4560 | 0.0228 | 0.9959 | 0.9661 | 0.9893 | 0.9439 |
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| 0.0001 | 2.75 | 5016 | 0.0231 | 0.9957 | 0.9648 | 0.9867 | 0.9439 |
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| 0.0001 | 3.0 | 5472 | 0.0224 | 0.9957 | 0.9648 | 0.9867 | 0.9439 |
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| 0.0001 | 3.25 | 5928 | 0.0218 | 0.9959 | 0.9661 | 0.9893 | 0.9439 |
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| 0.0 | 3.5 | 6384 | 0.0232 | 0.9955 | 0.9635 | 0.9840 | 0.9439 |
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| 0.0 | 3.75 | 6840 | 0.0229 | 0.9957 | 0.9649 | 0.9841 | 0.9464 |
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| 0.0 | 4.0 | 7296 | 0.0240 | 0.9955 | 0.9635 | 0.9840 | 0.9439 |
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| 0.0 | 4.25 | 7752 | 0.0249 | 0.9957 | 0.9648 | 0.9867 | 0.9439 |
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| 0.0 | 4.5 | 8208 | 0.0251 | 0.9954 | 0.9623 | 0.9814 | 0.9439 |
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| 0.0 | 4.74 | 8664 | 0.0248 | 0.9954 | 0.9623 | 0.9814 | 0.9439 |
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| 0.0 | 4.99 | 9120 | 0.0251 | 0.9954 | 0.9623 | 0.9814 | 0.9439 |
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| 0.0 | 5.24 | 9576 | 0.0253 | 0.9954 | 0.9623 | 0.9814 | 0.9439 |
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| 0.0 | 5.49 | 10032 | 0.0266 | 0.9954 | 0.9623 | 0.9814 | 0.9439 |
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| 0.0 | 5.74 | 10488 | 0.0264 | 0.9954 | 0.9623 | 0.9814 | 0.9439 |
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| 0.0 | 5.99 | 10944 | 0.0265 | 0.9954 | 0.9623 | 0.9814 | 0.9439 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 567641624
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version https://git-lfs.github.com/spec/v1
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size 567641624
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runs/Jan22_19-00-38_4e0cbbdf12c2/events.out.tfevents.1705950038.4e0cbbdf12c2.84260.5
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 20709
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