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End of training
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README.md
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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-cls
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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-cls
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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: 1.0625
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- Accuracy: 0.8124
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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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| 1.342 | 0.0859 | 5000 | 1.7155 | 0.6436 |
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| 1.2536 | 0.1718 | 10000 | 1.3484 | 0.7139 |
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| 1.1442 | 0.2577 | 15000 | 1.2988 | 0.7495 |
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| 1.0014 | 0.3436 | 20000 | 1.4252 | 0.7492 |
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| 0.8824 | 0.4295 | 25000 | 1.2261 | 0.7733 |
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| 0.9017 | 0.5155 | 30000 | 1.1556 | 0.7840 |
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| 0.7934 | 0.6014 | 35000 | 1.1842 | 0.7917 |
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| 0.9238 | 0.6873 | 40000 | 1.0854 | 0.7990 |
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| 0.9034 | 0.7732 | 45000 | 1.1318 | 0.7978 |
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| 0.7515 | 0.8591 | 50000 | 1.0742 | 0.8049 |
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| 0.7735 | 0.9450 | 55000 | 1.0625 | 0.8124 |
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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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