| --- |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: bert-base-uncased-issues-128 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bert-base-uncased-issues-128 |
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2222 |
|
|
| ## Model description |
|
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| More information needed |
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|
| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
|
|
| 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 16 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.0987 | 1.0 | 291 | 1.6985 | |
| | 1.6308 | 2.0 | 582 | 1.5183 | |
| | 1.4968 | 3.0 | 873 | 1.3575 | |
| | 1.3963 | 4.0 | 1164 | 1.3388 | |
| | 1.3329 | 5.0 | 1455 | 1.2376 | |
| | 1.2854 | 6.0 | 1746 | 1.3704 | |
| | 1.2359 | 7.0 | 2037 | 1.2990 | |
| | 1.2064 | 8.0 | 2328 | 1.3360 | |
| | 1.1628 | 9.0 | 2619 | 1.2264 | |
| | 1.1406 | 10.0 | 2910 | 1.1664 | |
| | 1.1286 | 11.0 | 3201 | 1.1303 | |
| | 1.1123 | 12.0 | 3492 | 1.1831 | |
| | 1.0896 | 13.0 | 3783 | 1.2102 | |
| | 1.0764 | 14.0 | 4074 | 1.2081 | |
| | 1.0716 | 15.0 | 4365 | 1.2217 | |
| | 1.06 | 16.0 | 4656 | 1.2222 | |
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| ### Framework versions |
|
|
| - Transformers 4.41.2 |
| - Pytorch 2.1.2 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
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|
