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---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: test-trainer
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. -->
# test-trainer
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5319
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1377
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log | 0.1089 | 50 | 0.5885 |
| 0.6475 | 0.2179 | 100 | 0.5992 |
| 0.6475 | 0.3268 | 150 | 0.5555 |
| 0.5984 | 0.4357 | 200 | 0.5674 |
| 0.5984 | 0.5447 | 250 | 0.8102 |
| 0.574 | 0.6536 | 300 | 0.5246 |
| 0.574 | 0.7625 | 350 | 0.5154 |
| 0.5728 | 0.8715 | 400 | 0.5616 |
| 0.5728 | 0.9804 | 450 | 0.5247 |
| 0.4933 | 1.0893 | 500 | 0.4771 |
| 0.4933 | 1.1983 | 550 | 0.5082 |
| 0.4332 | 1.3072 | 600 | 0.4866 |
| 0.4332 | 1.4161 | 650 | 0.4762 |
| 0.4269 | 1.5251 | 700 | 0.3891 |
| 0.4269 | 1.6340 | 750 | 0.4092 |
| 0.3825 | 1.7429 | 800 | 0.4439 |
| 0.3825 | 1.8519 | 850 | 0.3988 |
| 0.4038 | 1.9608 | 900 | 0.4035 |
| 0.4038 | 2.0697 | 950 | 0.5283 |
| 0.2891 | 2.1786 | 1000 | 0.5314 |
| 0.2891 | 2.2876 | 1050 | 0.5842 |
| 0.2558 | 2.3965 | 1100 | 0.5879 |
| 0.2558 | 2.5054 | 1150 | 0.5792 |
| 0.2529 | 2.6144 | 1200 | 0.5626 |
| 0.2529 | 2.7233 | 1250 | 0.5591 |
| 0.2729 | 2.8322 | 1300 | 0.5504 |
| 0.2729 | 2.9412 | 1350 | 0.5319 |
### Framework versions
- Transformers 4.55.4
- Pytorch 2.7.1
- Datasets 4.0.0
- Tokenizers 0.21.4
|