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---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results_v3
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_v3
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: 0.1078
## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 11
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0953 | 1.0 | 5427 | 0.0894 |
| 0.0803 | 2.0 | 10854 | 0.0849 |
| 0.072 | 3.0 | 16281 | 0.0844 |
| 0.0629 | 4.0 | 21708 | 0.0863 |
| 0.0604 | 5.0 | 27135 | 0.0893 |
| 0.0543 | 6.0 | 32562 | 0.0919 |
| 0.054 | 7.0 | 37989 | 0.0955 |
| 0.0443 | 8.0 | 43416 | 0.0979 |
| 0.0463 | 9.0 | 48843 | 0.1017 |
| 0.0394 | 10.0 | 54270 | 0.1060 |
| 0.035 | 11.0 | 59697 | 0.1078 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
|