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library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: email
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. -->
# email
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: 0.4552
## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 467 | 0.9389 |
| 1.1060 | 2.0 | 934 | 0.7271 |
| 0.8155 | 3.0 | 1401 | 0.6182 |
| 0.6724 | 4.0 | 1868 | 0.5721 |
| 0.6073 | 5.0 | 2335 | 0.5628 |
| 0.5785 | 6.0 | 2802 | 0.5057 |
| 0.5418 | 7.0 | 3269 | 0.4829 |
| 0.5139 | 8.0 | 3736 | 0.4674 |
| 0.4864 | 9.0 | 4203 | 0.4572 |
| 0.4845 | 10.0 | 4670 | 0.4552 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
|