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--- |
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license: mit |
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base_model: microsoft/mdeberta-v3-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- recall |
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- accuracy |
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- precision |
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model-index: |
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- name: mdeberta-v3-base-fine-tuned-text-classificarion-ds-ss |
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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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# mdeberta-v3-base-fine-tuned-text-classificarion-ds-ss |
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0388 |
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- F1: 0.7346 |
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- Recall: 0.7570 |
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- Accuracy: 0.7570 |
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- Precision: 0.7456 |
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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: 8 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | Precision | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:| |
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| 3.3067 | 1.0 | 883 | 1.8916 | 0.4861 | 0.5479 | 0.5479 | 0.4605 | |
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| 1.5839 | 2.0 | 1766 | 1.2443 | 0.6494 | 0.6955 | 0.6955 | 0.6456 | |
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| 1.1286 | 3.0 | 2649 | 1.0806 | 0.7047 | 0.7283 | 0.7283 | 0.7074 | |
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| 0.892 | 4.0 | 3532 | 1.0966 | 0.7087 | 0.7393 | 0.7393 | 0.7165 | |
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| 0.7316 | 5.0 | 4415 | 1.0388 | 0.7346 | 0.7570 | 0.7570 | 0.7456 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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