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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: output |
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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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# output |
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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: 0.2749 |
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- Accuracy: 0.9364 |
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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: 0.0005 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.3 |
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- num_epochs: 10.0 |
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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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| 0.2399 | 1.0 | 2500 | 0.2539 | 0.9037 | |
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| 0.2454 | 2.0 | 5000 | 0.2753 | 0.9064 | |
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| 0.2251 | 3.0 | 7500 | 0.2436 | 0.9167 | |
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| 0.1996 | 4.0 | 10000 | 0.2271 | 0.9246 | |
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| 0.1845 | 5.0 | 12500 | 0.2116 | 0.9269 | |
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| 0.205 | 6.0 | 15000 | 0.1946 | 0.9312 | |
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| 0.1352 | 7.0 | 17500 | 0.2233 | 0.9328 | |
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| 0.1306 | 8.0 | 20000 | 0.2257 | 0.936 | |
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| 0.0849 | 9.0 | 22500 | 0.2582 | 0.9372 | |
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| 0.0609 | 10.0 | 25000 | 0.2749 | 0.9364 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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