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--- |
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license: apache-2.0 |
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base_model: bert-base-cased |
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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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model-index: |
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- name: newsdata-bert |
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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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# newsdata-bert |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7534 |
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- Accuracy: 0.8531 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:-----:|:---------------:|:--------:| |
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| 1.4704 | 0.0859 | 5000 | 1.4487 | 0.6858 | |
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| 1.1946 | 0.1718 | 10000 | 1.2197 | 0.7417 | |
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| 1.1323 | 0.2577 | 15000 | 0.9984 | 0.7733 | |
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| 0.9926 | 0.3436 | 20000 | 1.0195 | 0.7901 | |
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| 0.9232 | 0.4295 | 25000 | 0.9879 | 0.8089 | |
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| 0.9273 | 0.5155 | 30000 | 0.8956 | 0.8224 | |
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| 1.0023 | 0.6014 | 35000 | 0.8435 | 0.8277 | |
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| 0.7566 | 0.6873 | 40000 | 0.8668 | 0.8331 | |
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| 0.9032 | 0.7732 | 45000 | 0.8221 | 0.8408 | |
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| 0.7227 | 0.8591 | 50000 | 0.7653 | 0.8456 | |
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| 0.8159 | 0.9450 | 55000 | 0.7534 | 0.8531 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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