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avsolatorio/doc-topic-model_eval-03_train-01
Browse files- README.md +88 -0
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README.md
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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-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: doc-topic-model_eval-03_train-01
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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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# doc-topic-model_eval-03_train-01
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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: 0.0401
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- Accuracy: 0.9877
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- F1: 0.6362
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- Precision: 0.7046
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- Recall: 0.5799
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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: 256
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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: 100
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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 | F1 | Precision | Recall |
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|:-------------:|:-------:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.0941 | 0.4931 | 1000 | 0.0904 | 0.9814 | 0.0 | 0.0 | 0.0 |
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| 0.0787 | 0.9862 | 2000 | 0.0705 | 0.9814 | 0.0 | 0.0 | 0.0 |
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| 0.0628 | 1.4793 | 3000 | 0.0571 | 0.9822 | 0.1170 | 0.7402 | 0.0635 |
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| 0.0537 | 1.9724 | 4000 | 0.0501 | 0.9842 | 0.3163 | 0.7991 | 0.1972 |
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| 0.0478 | 2.4655 | 5000 | 0.0469 | 0.9851 | 0.4211 | 0.7561 | 0.2918 |
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| 0.0453 | 2.9586 | 6000 | 0.0443 | 0.9857 | 0.4941 | 0.7238 | 0.3751 |
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| 0.0389 | 3.4517 | 7000 | 0.0417 | 0.9863 | 0.5359 | 0.7234 | 0.4255 |
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| 0.0393 | 3.9448 | 8000 | 0.0410 | 0.9862 | 0.5412 | 0.7034 | 0.4398 |
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| 0.0349 | 4.4379 | 9000 | 0.0397 | 0.9868 | 0.5693 | 0.7206 | 0.4704 |
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| 0.0344 | 4.9310 | 10000 | 0.0389 | 0.9870 | 0.5744 | 0.7307 | 0.4731 |
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| 0.0302 | 5.4241 | 11000 | 0.0384 | 0.9872 | 0.5891 | 0.7262 | 0.4955 |
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| 0.0305 | 5.9172 | 12000 | 0.0386 | 0.9870 | 0.5894 | 0.7087 | 0.5045 |
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| 0.027 | 6.4103 | 13000 | 0.0384 | 0.9873 | 0.5966 | 0.7229 | 0.5079 |
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| 0.0282 | 6.9034 | 14000 | 0.0380 | 0.9874 | 0.6018 | 0.7255 | 0.5141 |
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| 0.0235 | 7.3964 | 15000 | 0.0382 | 0.9874 | 0.6185 | 0.7089 | 0.5485 |
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| 0.0255 | 7.8895 | 16000 | 0.0380 | 0.9874 | 0.6198 | 0.7077 | 0.5512 |
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| 0.0214 | 8.3826 | 17000 | 0.0382 | 0.9876 | 0.6292 | 0.7049 | 0.5681 |
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| 0.0222 | 8.8757 | 18000 | 0.0386 | 0.9876 | 0.6271 | 0.7083 | 0.5626 |
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| 0.0192 | 9.3688 | 19000 | 0.0397 | 0.9874 | 0.6294 | 0.6936 | 0.5761 |
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| 0.0189 | 9.8619 | 20000 | 0.0396 | 0.9875 | 0.6300 | 0.6993 | 0.5732 |
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| 0.0159 | 10.3550 | 21000 | 0.0401 | 0.9877 | 0.6362 | 0.7046 | 0.5799 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 567860028
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version https://git-lfs.github.com/spec/v1
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