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library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results
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. -->
# results
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: 0.3095
- Macro F1: 0.8317
- Macro Precision: 0.8609
- Macro Recall: 0.8061
- Macro Support: None
## 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: 64
- eval_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Macro Support |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:-------------:|
| No log | 1.0 | 86 | 0.5550 | 0.1427 | 0.1109 | 0.2 | None |
| 0.6112 | 2.0 | 172 | 0.4244 | 0.5106 | 0.7966 | 0.4864 | None |
| 0.4482 | 3.0 | 258 | 0.3317 | 0.7370 | 0.7756 | 0.7129 | None |
| 0.3083 | 4.0 | 344 | 0.3029 | 0.7749 | 0.8252 | 0.7414 | None |
| 0.2015 | 5.0 | 430 | 0.2997 | 0.7893 | 0.8241 | 0.7742 | None |
| 0.1252 | 6.0 | 516 | 0.2980 | 0.8110 | 0.8430 | 0.7882 | None |
| 0.0736 | 7.0 | 602 | 0.3023 | 0.8148 | 0.8565 | 0.7811 | None |
| 0.0736 | 8.0 | 688 | 0.3091 | 0.8279 | 0.8448 | 0.8135 | None |
| 0.0384 | 9.0 | 774 | 0.3087 | 0.8313 | 0.8613 | 0.8062 | None |
| 0.0216 | 10.0 | 860 | 0.3095 | 0.8317 | 0.8609 | 0.8061 | None |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
|