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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: bert-base-cased
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-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4153
- Accuracy: 0.819
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 125 | 0.6959 | 0.451 |
| No log | 2.0 | 250 | 0.6876 | 0.561 |
| No log | 3.0 | 375 | 0.6825 | 0.543 |
| 0.6936 | 4.0 | 500 | 0.6629 | 0.617 |
| 0.6936 | 5.0 | 625 | 0.6337 | 0.661 |
| 0.6936 | 6.0 | 750 | 0.6049 | 0.674 |
| 0.6936 | 7.0 | 875 | 0.5729 | 0.706 |
| 0.6247 | 8.0 | 1000 | 0.5497 | 0.71 |
| 0.6247 | 9.0 | 1125 | 0.5248 | 0.733 |
| 0.6247 | 10.0 | 1250 | 0.5047 | 0.74 |
| 0.6247 | 11.0 | 1375 | 0.4837 | 0.765 |
| 0.5062 | 12.0 | 1500 | 0.4711 | 0.766 |
| 0.5062 | 13.0 | 1625 | 0.4593 | 0.784 |
| 0.5062 | 14.0 | 1750 | 0.4504 | 0.788 |
| 0.5062 | 15.0 | 1875 | 0.4430 | 0.793 |
| 0.4395 | 16.0 | 2000 | 0.4341 | 0.8 |
| 0.4395 | 17.0 | 2125 | 0.4310 | 0.8 |
| 0.4395 | 18.0 | 2250 | 0.4264 | 0.807 |
| 0.4395 | 19.0 | 2375 | 0.4214 | 0.807 |
| 0.3974 | 20.0 | 2500 | 0.4211 | 0.811 |
| 0.3974 | 21.0 | 2625 | 0.4168 | 0.812 |
| 0.3974 | 22.0 | 2750 | 0.4183 | 0.815 |
| 0.3974 | 23.0 | 2875 | 0.4155 | 0.815 |
| 0.3823 | 24.0 | 3000 | 0.4154 | 0.818 |
| 0.3823 | 25.0 | 3125 | 0.4153 | 0.819 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.3.0.dev20231231
- Datasets 2.16.1
- Tokenizers 0.15.0 |