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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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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: bert_cm |
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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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# bert_cm |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4443 |
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- Accuracy: 0.9210 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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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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| No log | 1.0 | 132 | 0.2634 | 0.8951 | |
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| No log | 2.0 | 264 | 0.2139 | 0.9195 | |
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| No log | 3.0 | 396 | 0.3145 | 0.9195 | |
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| 0.2227 | 4.0 | 528 | 0.3342 | 0.9286 | |
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| 0.2227 | 5.0 | 660 | 0.3804 | 0.9316 | |
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| 0.2227 | 6.0 | 792 | 0.3942 | 0.9362 | |
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| 0.2227 | 7.0 | 924 | 0.4372 | 0.9195 | |
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| 0.0101 | 8.0 | 1056 | 0.4211 | 0.9255 | |
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| 0.0101 | 9.0 | 1188 | 0.4334 | 0.9240 | |
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| 0.0101 | 10.0 | 1320 | 0.4443 | 0.9210 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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